Centrality anomalies in complex networks as a result of model over-simplification
“Many studies still focus on unweighted undirected description of networks, prompting an essential question: how to identify when a model is simpler than it must be? “
https://t.co/AqkZrj3YAv
“Many studies still focus on unweighted undirected description of networks, prompting an essential question: how to identify when a model is simpler than it must be? “
https://t.co/AqkZrj3YAv
#JobOffer #Savethedates | D-7 before the opening of our #PhD call! 🗓
We aim to recruit up to 16 #students!
The projects will be published on our website! 💻
https://t.co/z3Nkyeohzx
Don't hesitate to share the news... 👍
We aim to recruit up to 16 #students!
The projects will be published on our website! 💻
https://t.co/z3Nkyeohzx
Don't hesitate to share the news... 👍
#PhD project at Queen Mary University of London supervised by Dr. Rainer Klages, in collaboration with Giorgio Volpe (UCL) and myself.
Topic: active search strategies based on random walks
Application deadline: 31 January 2020
Info here: https://t.co/sJyXkUXQWs
Topic: active search strategies based on random walks
Application deadline: 31 January 2020
Info here: https://t.co/sJyXkUXQWs
John Von Neumann once claimed that "with 4 parameters I can fit an elephant, and with 5 I can make him wiggle his trunk"
This paper proves that John's claim is true!
https://t.co/K4K2NKGhr4?amp=1
This paper proves that John's claim is true!
https://t.co/K4K2NKGhr4?amp=1
EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks. (arXiv:2001.02436v1 [q-bio.QM])
https://t.co/EiSy4fREtj
https://t.co/EiSy4fREtj
💰 #PhD calls at Sissa school are now open! If you're interested into Psycholinguistics and the Cognitive Neuroscience of reading, language and learning, come work with us!
Check out our department (https://t.co/HhYj5TleNE) and lab website (https://t.co/rMZ24lwCwL), and apply here -- https://t.co/kIJ7BOFusX.
Check out our department (https://t.co/HhYj5TleNE) and lab website (https://t.co/rMZ24lwCwL), and apply here -- https://t.co/kIJ7BOFusX.
💰 We are looking for a #PhD student in our project "A complex systems approach to colony collapse in honeybees", also for students in complex syst & maths. Deadline Feb. 5
https://t.co/GM0fRwP7MC
https://t.co/GM0fRwP7MC
Master's degree in Physics of Data. Apply online!
Applications are now open:
https://t.co/3BRcyvMRYI
More information about the Master's degree: https://t.co/BrptEUhQfe
#student #studentlife #Master #university #study #Italy
Applications are now open:
https://t.co/3BRcyvMRYI
More information about the Master's degree: https://t.co/BrptEUhQfe
#student #studentlife #Master #university #study #Italy
apply.unipd.it
Apply online! - University of Padova
File your online application here if you want to study in University of Padova
💰 #PhD/#Postdoc on theory of mammalian single-cell growth, The “Statistical Physics of Cells and Genomes” group (PI Marco Cosentino-Lagomarsino) at IFOM, Milan. See all info https://t.co/CuTcq2dQmo
💰 #PhD position in Computational Science: information theory meets causality.
INFO:
https://uva.nl/en/content/vacancies/2019/12/19-878-phd-position-in-computational-science-information-theory-meets-causality.html
INFO:
https://uva.nl/en/content/vacancies/2019/12/19-878-phd-position-in-computational-science-information-theory-meets-causality.html
www.uva.nl
PhD position in Computational Science: information theory meets causality - University of Amsterdam
In this PhD position you will explore new methods for causality inference and causality discovery based on multivariate information theory to better understand the concept of nudge causality.
School on Data Science and Quantum Computation
Cumberland Lodge 29 March- 3 April Registration is now open!
https://t.co/k3UIgzqMsr
Cumberland Lodge 29 March- 3 April Registration is now open!
https://t.co/k3UIgzqMsr
Google
Home
Our planned Spring School on Data Science and Quantum Computing was unfortunately cancelled due to Covid-19, thankfully some of our invited speakers have kindly provided versions of the talks they would have delivered to us. For the full range of videos generously…
An Idea From Physics Helps AI See in Higher Dimensions
Einstein said in 1916, “The general laws of nature are to be expressed by equations which hold good for all systems of coordinates.” The idea is key to a powerful new AI approach.
https://www.quantamagazine.org/an-idea-from-physics-helps-ai-see-in-higher-dimensions-20200109/
Einstein said in 1916, “The general laws of nature are to be expressed by equations which hold good for all systems of coordinates.” The idea is key to a powerful new AI approach.
https://www.quantamagazine.org/an-idea-from-physics-helps-ai-see-in-higher-dimensions-20200109/
📺 "The best way to understand the mind is to built it." Full lecture: https://t.co/vnk1g2dOd4
YouTube
Deep Learning State of the Art (2020)
Lecture on most recent research and developments in deep learning, and hopes for 2020. This is not intended to be a list of SOTA benchmark results, but rather a set of highlights of machine learning and AI innovations and progress in academia, industry, and…
Check it out!
http://netsci2020.netscisociety.net
Important dates:
JANUARY 31: Satellite proposals deadline.
FEBRUARY 14: Abstract submission deadline
http://netsci2020.netscisociety.net
Important dates:
JANUARY 31: Satellite proposals deadline.
FEBRUARY 14: Abstract submission deadline
💡 New review article on arXiv: "Network Geometry"
(by Marian Boguna, Ivan Bonamassa, Manlio De Domenico, Shlomo Havlin, Dmitri Krioukov, M. Angeles Serrano):
https://t.co/pZ7BNWec2o
Networks are natural geometric objects. Yet the discrete metric structure of shortest path lengths in a network, known as chemical distances, is definitely not the only reservoir of geometric distances that characterize many networks. The other forms of network-related geometries are the geometry of continuous latent spaces underlying many networks, and the effective geometry induced by dynamical processes in networks. A solid and rapidly growing amount of evidence shows that the three approaches are intimately related. Network geometry is immensely efficient in discovering hidden symmetries, such as scale-invariance, and other fundamental physical and mathematical properties of networks, as well as in a variety of practical applications, ranging from the understanding how the brain works, to routing in the Internet. Here, we review the most important theoretical and practical developments in network geometry in the last two decades, and offer perspectives on future research directions and challenges in this novel frontier in the study of complexity.
(by Marian Boguna, Ivan Bonamassa, Manlio De Domenico, Shlomo Havlin, Dmitri Krioukov, M. Angeles Serrano):
https://t.co/pZ7BNWec2o
Networks are natural geometric objects. Yet the discrete metric structure of shortest path lengths in a network, known as chemical distances, is definitely not the only reservoir of geometric distances that characterize many networks. The other forms of network-related geometries are the geometry of continuous latent spaces underlying many networks, and the effective geometry induced by dynamical processes in networks. A solid and rapidly growing amount of evidence shows that the three approaches are intimately related. Network geometry is immensely efficient in discovering hidden symmetries, such as scale-invariance, and other fundamental physical and mathematical properties of networks, as well as in a variety of practical applications, ranging from the understanding how the brain works, to routing in the Internet. Here, we review the most important theoretical and practical developments in network geometry in the last two decades, and offer perspectives on future research directions and challenges in this novel frontier in the study of complexity.
📐 LML summer school 2020 welcomes applications for highly-motivated students to spend at 🇮🇹ICTP one month doing research at the Adriatic coast.
http://lml.org.uk/events/summer-school/2020-projects/
🥕 Travel to and from the Summer School, accommodation, and meals will be provided.
http://lml.org.uk/events/summer-school/2020-projects/
🥕 Travel to and from the Summer School, accommodation, and meals will be provided.
lml.org.uk
2020 Projects
🚸 I am hiring a new #PhD student that will work on bias-free AI
https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/11988/Early-Stage-Researcher
From 14th February 2020 at the earliest, within NoBIAS - Artificial Intelligence without Bias, our department Computational Social Science (CSS) located in Cologne (Germany) is looking for an
Early Stage Researcher (PhD Position)
(working time 100 %, limited for 36 months)
https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/11988/Early-Stage-Researcher
From 14th February 2020 at the earliest, within NoBIAS - Artificial Intelligence without Bias, our department Computational Social Science (CSS) located in Cologne (Germany) is looking for an
Early Stage Researcher (PhD Position)
(working time 100 %, limited for 36 months)