#PhD

HyGraph: PhD Position on Graph Data Management  at DB Team/LIRIS Lab, Lyon (France).

The Database Team of the LIRIS Lab is opening a fully funded PhD position on graph data management. The position is funded for 3 years under a recent international ANR/DFG (French/German) Project “HyGraph: Querying and Analytics on Hybrid Graphs”.

The overarching goal of the project (PI: Prof. Angela Bonifati) is to design an hybrid data model that seamlessly combines temporal graphs with time series and enables high-frequency updates through graph streams. This combination in a unified hybrid model paves the way to novel unprecedented query, analysis, data mining and machine learning tasks.

To apply, send a CV, a letter of motivation, three recommendation letters together with full Master grade transcripts to the names listed below:
Angela Bonifati (Angela.Bonifati@univ-lyon1.fr)

#Postdoc (London, United Kingdom)
Real-time modelling of infectious disease outbreaks

https://iddjobs.org/jobs/2-postdoc-positions-in-real-time-modelling-of-infectious-disease-outbreaks

Department of Linguistics and Scandinavian Studies

Associate Professor of Linguistics with a Specialization in Computational Linguistics

#PhD Candidate in Network Science

To apply for this vacancy, please send an email to jobs@liacs.leidenuniv.nl with the subject “PhD Application
for Vacancy No. 23-340”

Call for Abstracts: Conference on Complex Systems 2023
https://sco.lt/5EWya8

Now accepting applications for IceLab Camp. Learn to prepare interdisciplinary research proposals. For early career researchers from anywhere, not just Sweden. Free to participate in! Apply here:

https://icelab.se/event/icelab-camp-2023/

LPTMS Internship proposals:

Using statistical models to unravel the gene interactions behind developmental robustness

Conformal field theories for statistical models

Self-assembly of irregular micro-particles

#PhD Proposals:

Frustrated self-assembly with multiple particle types

Models and Time Series Analysis for Human Sports Performance

We are seeking a #PhD candidate interested in the study of Spatial Networks, Urban Systems and Transportation. Additional information provided below. Applications are open until May 18th, with possible anticipated start date in October.

https://www.unitn.it/en/ateneo/1956/announcement-of-selection

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

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.”

Lipari School on Computational Life Sciences

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

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

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

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

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!

#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