We are #hiring a #FrontendDeveloper to work on several science-backed applications.
If you
- Enjoy problem solving and have the patience to work with scientists
- Have experience with graphic design applications
- Are proficient in Javascript/JQuery, HTML, CSS, Bootstrap
- Have some experience with Git, Python, Flutter, React and are eager to learn more
send your CV to shima@ipm.ir
If you
- Enjoy problem solving and have the patience to work with scientists
- Have experience with graphic design applications
- Are proficient in Javascript/JQuery, HTML, CSS, Bootstrap
- Have some experience with Git, Python, Flutter, React and are eager to learn more
send your CV to shima@ipm.ir
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Mechanisms: Inside or In-Between?
by Issa Kohler-Hausmann (Senior Law and Society Fellow, Spring 2022, Simons Institute)
https://blog.simons.berkeley.edu/2023/05/mechanisms-inside-or-in-between/
This work was made possible by the Simons Institute’s Causality program in the spring of 2022, where I was the Law and Society fellow and had the opportunity to learn and discuss with a collection of brilliant scholars thinking about and working on causality and causal modeling. Special gratitude goes to Robin Dembroff, Maegan Fairchild, and Shamik Dasgupta, who participated in the April 2022 Theoretically Speaking event “Noncausal Dependence and Why It Matters for Causal Reasoning.”
by Issa Kohler-Hausmann (Senior Law and Society Fellow, Spring 2022, Simons Institute)
https://blog.simons.berkeley.edu/2023/05/mechanisms-inside-or-in-between/
This work was made possible by the Simons Institute’s Causality program in the spring of 2022, where I was the Law and Society fellow and had the opportunity to learn and discuss with a collection of brilliant scholars thinking about and working on causality and causal modeling. Special gratitude goes to Robin Dembroff, Maegan Fairchild, and Shamik Dasgupta, who participated in the April 2022 Theoretically Speaking event “Noncausal Dependence and Why It Matters for Causal Reasoning.”
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Lipari School on Computational Life Sciences
Spreading and Accessing Information
July 16th - July 22nd, 2023
https://complex23.liparischool.it/
Spreading and Accessing Information
July 16th - July 22nd, 2023
https://complex23.liparischool.it/
A new frontier for Hopfield networks
Over the past few years there has been a resurgence of interest in Hopfield networks of associative memory. Dmitry Krotov discusses recent theoretical advances and their broader impact in the context of energy-based neural architectures.
https://www.nature.com/articles/s42254-023-00595-y
Over the past few years there has been a resurgence of interest in Hopfield networks of associative memory. Dmitry Krotov discusses recent theoretical advances and their broader impact in the context of energy-based neural architectures.
https://www.nature.com/articles/s42254-023-00595-y
Nature
A new frontier for Hopfield networks
Nature Reviews Physics - Dmitry Krotov discusses recent theoretical advances in Hopfield networks and their broader impact in the context of energy-based neural architectures.
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Neuroscience needs Network Science
The brain is a complex system comprising a myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool for studying such intricate systems, offering a framework for integrating multiscale data and complexity. Here, we discuss the application of network science in the study of the brain, addressing topics such as network models and metrics, the connectome, and the role of dynamics in neural networks. We explore the challenges and opportunities in integrating multiple data streams for understanding the neural transitions from development to healthy function to disease, and discuss the potential for collaboration between network science and neuroscience communities. We underscore the importance of fostering interdisciplinary opportunities through funding initiatives, workshops, and conferences, as well as supporting students and postdoctoral fellows with interests in both disciplines. By uniting the network science and neuroscience communities, we can develop novel network-based methods tailored to neural circuits, paving the way towards a deeper understanding of the brain and its functions.
https://arxiv.org/abs/2305.06160v2
The brain is a complex system comprising a myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool for studying such intricate systems, offering a framework for integrating multiscale data and complexity. Here, we discuss the application of network science in the study of the brain, addressing topics such as network models and metrics, the connectome, and the role of dynamics in neural networks. We explore the challenges and opportunities in integrating multiple data streams for understanding the neural transitions from development to healthy function to disease, and discuss the potential for collaboration between network science and neuroscience communities. We underscore the importance of fostering interdisciplinary opportunities through funding initiatives, workshops, and conferences, as well as supporting students and postdoctoral fellows with interests in both disciplines. By uniting the network science and neuroscience communities, we can develop novel network-based methods tailored to neural circuits, paving the way towards a deeper understanding of the brain and its functions.
https://arxiv.org/abs/2305.06160v2
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Forwarded from Sitpor.org سیتپـــــور
در تحول امور، از اول کارشناسی تا آخر دکتری
تغییر و تحول نگاه یک فیزیکخوانده به زندگی علمی از ابتدای دوره لیسانس فیزیک تا آخر دکتری
🔗 sitpor.org/2023/05/life-in-academia
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
تغییر و تحول نگاه یک فیزیکخوانده به زندگی علمی از ابتدای دوره لیسانس فیزیک تا آخر دکتری
🔗 sitpor.org/2023/05/life-in-academia
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
The theory of percolation on hypergraphs,
arxiv.org/abs/2305.12297
The node percolation threshold for hypergraphs exceeds the hyperedge percolation threshold -
it's easier to destroy a hypergraph by removing nodes than hyperedges
arxiv.org/abs/2305.12297
The node percolation threshold for hypergraphs exceeds the hyperedge percolation threshold -
it's easier to destroy a hypergraph by removing nodes than hyperedges
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Thursday 01/06/2023 in Aula Amaldi there will be the last session of the Series "Interdisciplinary contribution of Giorgio Parisi to theoretical physics."
This time we are very happy to announce a double appointment!
At 14h30 Riccardo Zecchina (Bocconi, Milano) will speak about the paper "Analytic and algorithmic solution of random satisfiability problems", Marc Mézard, Giorgio Parisi, Riccardo Zecchina, Science 297 (5582), 812 (2002)
At 15h30 there will be a coffee break.
At 16h00 Luciano Maiani (Sapienza, Roma) will speak about the paper "Bounds on the fermions and Higgs boson masses in grand unified theories", Nicola Cabibbo, Luciano Maiani, Giorgio Parisi, Roberto Petronzio, Nuclear Physics B 158 (2-3), 295 (1979).
We really hope you will be able to come. However, if this is not the case, you can follow it on zoom: https://l.infn.it/parisizoom
On the website https://l.infn.it/parisi , you can also find the recorded past seminars.
Speaker: Riccardo Zecchina
Title: From Spin Glasses theory to Optimization in High Dimensions and Modern Artificial Neural Networks
Abstract: This talk pays tribute to Giorgio Parisi's groundbreaking work by exploring his significant contributions to the cutting-edge fields of computer science and machine learning.
The first segment of the talk focuses on the profound implications of replica symmetry breaking theory in the field of computer science. It explains how this conceptual framework has fostered new computational methods and mathematical challenges in high dimensions.
The second part of the discussion focuses on contemporary applications of these ideas in the field of artificial neural networks. By examining their connections to problems of constrained optimization and inference, we reveal the influence of Parisi's work on our understanding of contemporary artificial neural systems. We hope to invite reflection on the past, examination of the present, and speculation on the future of RSB theory in these intertwined disciplines.
Speaker: Luciano Maiani
Title: Re-thinking the Standard Theory at Asymptotically Large Momenta
Abstract: I consider a paper by Parisi, Petronzio and myself (MPP, 1978) with the idea that the couplings of the Standard Theory all diverge at the Planck mass, Mpl=1.9 10^{+19} GeV, the energy scale of the onset of Gravity. As shown by MPP, this condition requires N=8 quark and lepton generations and predicts successfully the values of the low-energy couplings of the Standard Theory. A successive study extended to low energy Supersymmetry by Cabibbo and Farrar (CF, 1982) leads to N=5 generations and similarly good values of the low energy couplings. In absence of a positive observation of proton’s decay, MPP and CF provide an alternative to Grand Unification, and anticipate a direct unification of the Standard Theory with Quantum Gravity, Superstrings etc. still to be studied.
I will also discuss a second line of research, initiated by Cabibbo, Parisi, Petronzio and myself (CMPP, 1979), concerning the bounds to the Higgs boson and the top quark masses arising from the requirement of a stable electroweak vacuum up to the Grand Unification scale. The observed Higgs boson and top quark masses are inside, but very close to, the borders of the stability region. Successive studies by Altarelli and Isidori (1994) and by De Grassi et al. (2012) have shown that stability extends up to the Planck Mass, suggesting again a direct unification of the Standard Theory to Quantum Gravity.
Best!
This time we are very happy to announce a double appointment!
At 14h30 Riccardo Zecchina (Bocconi, Milano) will speak about the paper "Analytic and algorithmic solution of random satisfiability problems", Marc Mézard, Giorgio Parisi, Riccardo Zecchina, Science 297 (5582), 812 (2002)
At 15h30 there will be a coffee break.
At 16h00 Luciano Maiani (Sapienza, Roma) will speak about the paper "Bounds on the fermions and Higgs boson masses in grand unified theories", Nicola Cabibbo, Luciano Maiani, Giorgio Parisi, Roberto Petronzio, Nuclear Physics B 158 (2-3), 295 (1979).
We really hope you will be able to come. However, if this is not the case, you can follow it on zoom: https://l.infn.it/parisizoom
On the website https://l.infn.it/parisi , you can also find the recorded past seminars.
Speaker: Riccardo Zecchina
Title: From Spin Glasses theory to Optimization in High Dimensions and Modern Artificial Neural Networks
Abstract: This talk pays tribute to Giorgio Parisi's groundbreaking work by exploring his significant contributions to the cutting-edge fields of computer science and machine learning.
The first segment of the talk focuses on the profound implications of replica symmetry breaking theory in the field of computer science. It explains how this conceptual framework has fostered new computational methods and mathematical challenges in high dimensions.
The second part of the discussion focuses on contemporary applications of these ideas in the field of artificial neural networks. By examining their connections to problems of constrained optimization and inference, we reveal the influence of Parisi's work on our understanding of contemporary artificial neural systems. We hope to invite reflection on the past, examination of the present, and speculation on the future of RSB theory in these intertwined disciplines.
Speaker: Luciano Maiani
Title: Re-thinking the Standard Theory at Asymptotically Large Momenta
Abstract: I consider a paper by Parisi, Petronzio and myself (MPP, 1978) with the idea that the couplings of the Standard Theory all diverge at the Planck mass, Mpl=1.9 10^{+19} GeV, the energy scale of the onset of Gravity. As shown by MPP, this condition requires N=8 quark and lepton generations and predicts successfully the values of the low-energy couplings of the Standard Theory. A successive study extended to low energy Supersymmetry by Cabibbo and Farrar (CF, 1982) leads to N=5 generations and similarly good values of the low energy couplings. In absence of a positive observation of proton’s decay, MPP and CF provide an alternative to Grand Unification, and anticipate a direct unification of the Standard Theory with Quantum Gravity, Superstrings etc. still to be studied.
I will also discuss a second line of research, initiated by Cabibbo, Parisi, Petronzio and myself (CMPP, 1979), concerning the bounds to the Higgs boson and the top quark masses arising from the requirement of a stable electroweak vacuum up to the Grand Unification scale. The observed Higgs boson and top quark masses are inside, but very close to, the borders of the stability region. Successive studies by Altarelli and Isidori (1994) and by De Grassi et al. (2012) have shown that stability extends up to the Planck Mass, suggesting again a direct unification of the Standard Theory to Quantum Gravity.
Best!
Zoom Video
Join our Cloud HD Video Meeting
Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom Rooms is the original software-based conference room solution…
#PhD position (Budapest and Szeged, Hungary) at Network Epidemics Group at Rényi Institute; Spreading phenomena on geometric networks
https://iddjobs.org/jobs/spreading-phenomena-on-geometric-networks
https://iddjobs.org/jobs/spreading-phenomena-on-geometric-networks
iddjobs.org
IDDjobs — Spreading phenomena on geometric networks — Rényi Institute of Mathematics and Bolyai Institute of Mathematics
Find infectious disease dynamics modelling jobs, studentships, and fellowships.
Reticula v0.9.2 is now out! This release brings support for MacOS (ARM and x64) and Windows (x64).
Reticula is a C++ library and Python package for efficient analysis of static and temporal networks and hypergraphs.
Check it out now:
https://docs.reticula.network/
Reticula is a C++ library and Python package for efficient analysis of static and temporal networks and hypergraphs.
Check it out now:
https://docs.reticula.network/
Reticula
Reticula: Temporal network and hypergraphs
Reticula is a general purpose C++ library and Python package for fast and efficient analysis of temporal networks and static and temporal hypergraphs. Currently, the library supports multiple metho...
The “six degrees of separation” are the property of the equilibrium state of any network where individuals weigh their aspiration to improve their centrality against the costs incurred in forming or maintaining connections. Learn more in
https://journals.aps.org/prx/abstract/10.1103/PhysRevX.13.021032
https://journals.aps.org/prx/abstract/10.1103/PhysRevX.13.021032
Physical Review X
Why Are There Six Degrees of Separation in a Social Network?
The ``six degrees of separation'' are the property of the equilibrium state of any network where individuals weigh their aspiration to improve their centrality against the costs incurred in forming or maintaining connections.
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#Postdoc Research Fellow in Social Data Science
The project is about using machine learning and NLP to track political narratives across TikTok, Telegram, and Twitter. Apply now!
The project is about using machine learning and NLP to track political narratives across TikTok, Telegram, and Twitter. Apply now!
Complex Systems Studies
A series of 14 seminars on the most influential papers of Parisi will give the opportunity to dive into the history of disordered systems (and beyond), https://sites.google.com/gssi.it/giorgioparisiseminars
This is a series of seminars held in Aula Amaldi in the Physics Department of "Sapienza", University of Rome, during the 2022/2023 academic year. The idea and organization of this event comes from a collaboration between Sapienza, INFN and Gran Sasso Science Institute.
https://www.youtube.com/playlist?list=PLWEeoIep_PT9Tir-6pMYHFASTciHsoiLv
https://www.youtube.com/playlist?list=PLWEeoIep_PT9Tir-6pMYHFASTciHsoiLv
Multiple #PhD positions!
Generative AI in a human-machine society
https://www.nature.com/naturecareers/job/12800062/ph-d-positions-on-generative-ai-in-a-human-machine-society/
Generative AI in a human-machine society
https://www.nature.com/naturecareers/job/12800062/ph-d-positions-on-generative-ai-in-a-human-machine-society/
Nature Careers
Ph.D. positions on generative AI in a human-machine society - Berlin (DE)
The Center for Humans and Machines (CHM) is looking to fill up to four Ph.D. positions on generative AI in a human-machine society
#phd position in Non-Equilibrium Soft Matter Physics
The Active Matter group at the Department of Applied Physics of Aalto University School of Science is looking for outstanding Doctoral Researchers to pursue a degree in the field of non-equilibrium soft matter physics.
https://aalto.wd3.myworkdayjobs.com/aalto/job/Otaniemi-Espoo-Finland/Doctoral-Researchers-in-Non-Equilibrium-Soft-Matter-Physics_R36530-2
The Active Matter group at the Department of Applied Physics of Aalto University School of Science is looking for outstanding Doctoral Researchers to pursue a degree in the field of non-equilibrium soft matter physics.
https://aalto.wd3.myworkdayjobs.com/aalto/job/Otaniemi-Espoo-Finland/Doctoral-Researchers-in-Non-Equilibrium-Soft-Matter-Physics_R36530-2
From networks to networking
https://www.nature.com/articles/s41567-023-02073-9
Research in the past few decades has uncovered powerful generalities in the structure of many natural and built networks. Now, a study describes how certain structural properties of networks may cause them to endure or collapse over time.
https://www.nature.com/articles/s41567-023-02073-9
Research in the past few decades has uncovered powerful generalities in the structure of many natural and built networks. Now, a study describes how certain structural properties of networks may cause them to endure or collapse over time.
Nature
From networks to networking
Nature Physics - Research in the past few decades has uncovered powerful generalities in the structure of many natural and built networks. Now, a study describes how certain structural properties...
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The 4th Nordic Neuroscience meeting:
https://in.ku.dk/seminars-and-events/upcoming-events/4th-nordic-neuroscience-meeting/
Deadline for submitting the symposium proposal is Friday July 1st.
https://in.ku.dk/seminars-and-events/upcoming-events/4th-nordic-neuroscience-meeting/
Deadline for submitting the symposium proposal is Friday July 1st.
#PhD position in the field of Computational Social Science
https://stellenangebote.uni-marburg.de/jobposting/1e81b99c5211c8e7d070e1b5567f9db548890ec90
https://stellenangebote.uni-marburg.de/jobposting/1e81b99c5211c8e7d070e1b5567f9db548890ec90
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