Interdisciplinary #PhD position in Marseilles, "Emergence of shared conventions in non-human social networks", see https://cpt.univ-mrs.fr/~barrat/phd.html
Deadline for applications: April 29th, 2022
Deadline for applications: April 29th, 2022
Interested applying machine learning, applied mathematics & data science tools for analyzing neural connectivity and sequential activation of neural ensembles associated with sensory computations and learning? We are hiring a #PhD student ! #KISNeuro #NTNU.
https://t.co/nzj2hrFEJX
https://t.co/nzj2hrFEJX
Jobbnorge.no
Ph.D Candidate (224137) | NTNU - Norwegian University of Science and Technology
Job title: Ph.D Candidate (224137), Employer: NTNU - Norwegian University of Science and Technology, Deadline: The application deadline has passed
CNeuro2022: in-person computational neuroscience summer school, Basel, Switzerland - 14 to 21 August 2022. This year's theme: "Learning, Memory, and Decision Making in Brains and Machines." Link for information and application in comment. https://t.co/HZd4kCx1fl
Confererence celebrating the 100th anniversary of Rényi's birth, Budapest, Hungary, 20 June - 23 June 2022
Alfréd Rényi was born on the 20th of March 1921. To celebrate this occasion, the Alfréd Rényi Institute of Mathematics and the Hungarian Academy of Sciences are organising a high-profile conference, representing modern probability, graph theory and networks, information theory, dynamical systems, number theory and other fields in Rényi's spirit. That is: not respecting strictly the borders between these and possibly other areas of pure and applied mathematics.
https://conferences.renyi.hu/renyi100/home
Alfréd Rényi was born on the 20th of March 1921. To celebrate this occasion, the Alfréd Rényi Institute of Mathematics and the Hungarian Academy of Sciences are organising a high-profile conference, representing modern probability, graph theory and networks, information theory, dynamical systems, number theory and other fields in Rényi's spirit. That is: not respecting strictly the borders between these and possibly other areas of pure and applied mathematics.
https://conferences.renyi.hu/renyi100/home
Course: Classical and Quantum Chaos
February 28, 2022 - March 29, 2022
Organizers Meenu Kumari
Chaos, popularly known as the butterfly effect, is a ubiquitous phenomenon that renders a system's evolution unpredictable due to extreme sensitivity to initial conditions. Within the context of classical physics, it often occurs in nonintegrable Hamiltonian systems and is characterized by positive Lyapunov exponents. On the other hand, the notion of nonintegrability and chaos in quantum physics is still not well-understood and is an area of active research. Several signatures have been studied in the literature to identify quantum chaos but all of them fall short in some way or the other. In this course, we will first discuss the notions of classical integrability, and classical chaos and its characterization with Lyapunov exponents. Then, we will discuss a few well-studied signatures of quantum chaos and the subtleties associated with them.
https://pirsa.org/C22018
February 28, 2022 - March 29, 2022
Organizers Meenu Kumari
Chaos, popularly known as the butterfly effect, is a ubiquitous phenomenon that renders a system's evolution unpredictable due to extreme sensitivity to initial conditions. Within the context of classical physics, it often occurs in nonintegrable Hamiltonian systems and is characterized by positive Lyapunov exponents. On the other hand, the notion of nonintegrability and chaos in quantum physics is still not well-understood and is an area of active research. Several signatures have been studied in the literature to identify quantum chaos but all of them fall short in some way or the other. In this course, we will first discuss the notions of classical integrability, and classical chaos and its characterization with Lyapunov exponents. Then, we will discuss a few well-studied signatures of quantum chaos and the subtleties associated with them.
https://pirsa.org/C22018
1 #PhD and 1 #postdoc position are open in my group at University of Genova! If you are interested in fluid mechanics, biological behavior and machine learning please express interest https://t.co/nfpBAfdJFL. Apply by May 15th to receive full consideration!
On the dimensionality of behavior
William Bialek
Significance
How do we characterize animal behavior? Psychophysics started with human behavior in the laboratory, and focused on simple contexts, such as the decision among just a few alternative actions in response to sensory inputs. In contrast, ethology focused on animal behavior in the natural environment, emphasizing that evolution selects potentially complex behaviors that are useful in specific contexts. New experimental methods now make it possible to monitor animal and human behaviors in vastly greater detail. This “physics of behavior” holds the promise of combining the psychophysicist’s quantitative approach with the ethologist’s appreciation of natural context. One question surrounding this growing body of data concerns the dimensionality of behavior. Here I try to give this concept a precise definition.
Abstract
There is a growing effort in the “physics of behavior” that aims at complete quantitative characterization of animal movements under more complex, naturalistic conditions. One reaction to the resulting explosion of high-dimensional data is the search for low-dimensional structure. Here I try to define more clearly what we mean by the dimensionality of behavior, where observable behavior may consist of either continuous trajectories or sequences of discrete states. This discussion also serves to isolate situations in which the dimensionality of behavior is effectively infinite.
https://www.pnas.org/doi/full/10.1073/pnas.2021860119
William Bialek
Significance
How do we characterize animal behavior? Psychophysics started with human behavior in the laboratory, and focused on simple contexts, such as the decision among just a few alternative actions in response to sensory inputs. In contrast, ethology focused on animal behavior in the natural environment, emphasizing that evolution selects potentially complex behaviors that are useful in specific contexts. New experimental methods now make it possible to monitor animal and human behaviors in vastly greater detail. This “physics of behavior” holds the promise of combining the psychophysicist’s quantitative approach with the ethologist’s appreciation of natural context. One question surrounding this growing body of data concerns the dimensionality of behavior. Here I try to give this concept a precise definition.
Abstract
There is a growing effort in the “physics of behavior” that aims at complete quantitative characterization of animal movements under more complex, naturalistic conditions. One reaction to the resulting explosion of high-dimensional data is the search for low-dimensional structure. Here I try to define more clearly what we mean by the dimensionality of behavior, where observable behavior may consist of either continuous trajectories or sequences of discrete states. This discussion also serves to isolate situations in which the dimensionality of behavior is effectively infinite.
https://www.pnas.org/doi/full/10.1073/pnas.2021860119
PNAS
On the dimensionality of behavior | PNAS
There is a growing effort in the “physics of behavior” that aims at complete quantitative
characterization of animal movements under more complex, ...
characterization of animal movements under more complex, ...
#phd Networks and Graphs Collaboratory - Embedding life and health
During your journey through life, you leave behind digital remnants in the health, the social, the educational, the legal system, and many more. This is a rich source of information for finding and visualizing patterns in life trajectories. Technically, we observe a number of streams of events in several channels, and a number of interactions with other individuals. The purpose of this research is to structure these as embeddings in vector spaces making visualizations, clustering, predictive analytics etc possible. Driving questions are in pharmacovigilance, in long covid tracking, in social interactions. Can we develop methods for detecting the impact on life of medications, of having had Covid, and can we quantify or even predict this?
Methodologically, we will develop deep networks inspired by the foundation models in Natural Language Processing like BERT and GPT-3 by graph neural networks and by variational autoencoders. Data-wise the project will rely on already harvested electronic health records from Capital Region and Zealand Region of Denmark comprising 2,4 mio subjects and data from Statistics Denmark on socioeconomic factors from the Danish population.
Supervisor: Mads Nielsen (University of Copenhagen, Computer Science). Co-supervisor: Sune Lehmann Jørgensen(Technical University of Denmark, DTU Informatics).
https://employment.ku.dk/phd/?show=156242
During your journey through life, you leave behind digital remnants in the health, the social, the educational, the legal system, and many more. This is a rich source of information for finding and visualizing patterns in life trajectories. Technically, we observe a number of streams of events in several channels, and a number of interactions with other individuals. The purpose of this research is to structure these as embeddings in vector spaces making visualizations, clustering, predictive analytics etc possible. Driving questions are in pharmacovigilance, in long covid tracking, in social interactions. Can we develop methods for detecting the impact on life of medications, of having had Covid, and can we quantify or even predict this?
Methodologically, we will develop deep networks inspired by the foundation models in Natural Language Processing like BERT and GPT-3 by graph neural networks and by variational autoencoders. Data-wise the project will rely on already harvested electronic health records from Capital Region and Zealand Region of Denmark comprising 2,4 mio subjects and data from Statistics Denmark on socioeconomic factors from the Danish population.
Supervisor: Mads Nielsen (University of Copenhagen, Computer Science). Co-supervisor: Sune Lehmann Jørgensen(Technical University of Denmark, DTU Informatics).
https://employment.ku.dk/phd/?show=156242
employment.ku.dk
PhD-positions
👍2
#PhD student position in Data Science for the analysis of online communication #uuinfolab at #Uppsala_uni).
Deadline May 31. https://t.co/PaIcfrqLFW
Deadline May 31. https://t.co/PaIcfrqLFW
www.uu.se
PhD student in Data Science for the analysis of online communication - Uppsala University, Sweden
PhD student in Data Science for the analysis of online communication, Uppsala University, Department of Information Technology, Uppsala University
I am looking for two #PhD to study the Bayesian analysis of networks with me! The students will develop new Bayesian models and methods for the analysis of cross-sectional and dynamic networks. Please share!
https://t.co/09QkzRQVRj
https://t.co/09QkzRQVRj
The summer school Summer School on Recent Advancements in Computational and Learning Methods for Inverse Problems will be held at the Mathematics and Computer Science Department of the University
of Cagliari (Sardinia, Italy) on July 11-15, 2022.
https://t.co/6OI93vaqtB
of Cagliari (Sardinia, Italy) on July 11-15, 2022.
https://t.co/6OI93vaqtB
The CSC Summer School in High-Performance Computing
Haltia Lake Lodge, Solvalla Nuuksio, Espoo, Finland
26.6.2022 - 5.7.2022
CSC Summer School brings together undergraduate and graduate students and postdoctoral researchers in different disciplines of scientific computing from all over the world. The contents consist of lectures and hands-on training on parallel programming, code optimization and other necessary skills in development of scientific software.
https://ssl.eventilla.com/summerschool
Haltia Lake Lodge, Solvalla Nuuksio, Espoo, Finland
26.6.2022 - 5.7.2022
CSC Summer School brings together undergraduate and graduate students and postdoctoral researchers in different disciplines of scientific computing from all over the world. The contents consist of lectures and hands-on training on parallel programming, code optimization and other necessary skills in development of scientific software.
https://ssl.eventilla.com/summerschool
Eventilla
The CSC Summer School in High-Performance Computing
Forwarded from Complex Networks (SBU)
مدل سازی مداخلههای دارویی و غیردارویی برای کنترل همه گیریها
عباس ک.ریزی
دانشکده علوم کامپیوتر
دانشگاه آلتو
یکشنبه ۱۸ اردیبهشت، ساعت ۱۰/۵ صبح به وقت تهران
🗓افزودن به تقویم
🔗 لینک محل برگزاری
—————————————
🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
🕸 @CCNSD 🔗 ccnsd.ir
—————————————
عباس ک.ریزی
دانشکده علوم کامپیوتر
دانشگاه آلتو
یکشنبه ۱۸ اردیبهشت، ساعت ۱۰/۵ صبح به وقت تهران
🗓افزودن به تقویم
🔗 لینک محل برگزاری
—————————————
🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
🕸 @CCNSD 🔗 ccnsd.ir
—————————————
🌀Tomorrow 6 May 3PM CEST webinar "#Modeling the #Network of #Social Interactions"
@janos_kertesz Prof at the Dep of Network & #DataScience Central European University and member of the ECLT Academic Assembly
👉More info https://t.co/7cStmEBLUA
@janos_kertesz Prof at the Dep of Network & #DataScience Central European University and member of the ECLT Academic Assembly
👉More info https://t.co/7cStmEBLUA
"The Life and Death of Turbulence"
N. Goldenfeld
https://t.co/8N4gARhsJM described novel, expt. tested predictions made from non-eqm statistical mechanics: directed percolation scaling at transition + Widom scaling of friction
N. Goldenfeld
https://t.co/8N4gARhsJM described novel, expt. tested predictions made from non-eqm statistical mechanics: directed percolation scaling at transition + Widom scaling of friction
👍1
Review: Ising machines as hardware solvers of combinatorial optimization problems
Read here: https://t.co/wh8my6QnhB
Read here: https://t.co/wh8my6QnhB
Nature
Ising machines as hardware solvers of combinatorial optimization problems
Nature Reviews Physics - Minimizing the energy of the Ising model is a prototypical combinatorial optimization problem, ubiquitous in our increasingly automated world. This Review surveys Ising...
👍1
Forwarded from SciSchool | مدرسه دانش
📣 وبینار فیزیک
📌 عنوان سخنرانی: چگونه ماده زنده با وجود شکست تقارن کنش-واکنش خودسازماندهی میکند؟
🎙 سخنران: پروفسور رامین گلستانیان (موسسهٔ ماکس پلانک، مرکز تحقیقات دینامیک و خودسازماندهی، و دانشگاه آکسفورد)
💡راههای زیادی برای مطالعهٔ زندگی وجود دارد. یکی از راههایی که بهویژه برای فیزیکدانها جذاب است، نگریستن به زندگی به عنوان مادهٔ نرمِ فعالِ خودسامانیافته است که به بیان درست، دور از تعادل است. در این سخنرانی من دربارهٔ این مفهوم بحث خواهم کرد و مثالهایی دربارهٔ این موضوع بیان میکنم که چهطور میتوانیم سیستمهای سادهای را کنار هم قرار دهیم که از مواد اولیهٔ کاملاً شناختهشده ساخته شدهاند. این امر یک نوع رفتار فعال را نشان میدهد که آن را در سیستمهای زنده مییابیم.
⏰ زمان: چهارشنبه ۴ خرداد ۱۴۰۱
ساعت ۱۸:۰۰
🔖 اطلاعات بیشتر برای شرکت در این سخنرانی را در صفحهٔ این رویداد در سایت مدرسه دانش ببینید.
🎥 ویدیوی این سخنرانی پس از برگزاری در همان صفحه برای مشاهدهٔ علاقهمندان بارگذاری خواهد شد.
#رویداد #فیزیک #ماده_زنده #شکست_تقارن #کنش_واکنش
📌 اینستاگرام
📌 لینکداین
📌 توییتر
🔗 @SciSchool
📌 عنوان سخنرانی: چگونه ماده زنده با وجود شکست تقارن کنش-واکنش خودسازماندهی میکند؟
🎙 سخنران: پروفسور رامین گلستانیان (موسسهٔ ماکس پلانک، مرکز تحقیقات دینامیک و خودسازماندهی، و دانشگاه آکسفورد)
💡راههای زیادی برای مطالعهٔ زندگی وجود دارد. یکی از راههایی که بهویژه برای فیزیکدانها جذاب است، نگریستن به زندگی به عنوان مادهٔ نرمِ فعالِ خودسامانیافته است که به بیان درست، دور از تعادل است. در این سخنرانی من دربارهٔ این مفهوم بحث خواهم کرد و مثالهایی دربارهٔ این موضوع بیان میکنم که چهطور میتوانیم سیستمهای سادهای را کنار هم قرار دهیم که از مواد اولیهٔ کاملاً شناختهشده ساخته شدهاند. این امر یک نوع رفتار فعال را نشان میدهد که آن را در سیستمهای زنده مییابیم.
⏰ زمان: چهارشنبه ۴ خرداد ۱۴۰۱
ساعت ۱۸:۰۰
🔖 اطلاعات بیشتر برای شرکت در این سخنرانی را در صفحهٔ این رویداد در سایت مدرسه دانش ببینید.
🎥 ویدیوی این سخنرانی پس از برگزاری در همان صفحه برای مشاهدهٔ علاقهمندان بارگذاری خواهد شد.
#رویداد #فیزیک #ماده_زنده #شکست_تقارن #کنش_واکنش
📌 اینستاگرام
📌 لینکداین
📌 توییتر
🔗 @SciSchool
We have two open #PhD positions on the analysis of online communication and on multilayer network data engineering. Details: https://t.co/1mPWigiekf and https://t.co/wpjVxdHCkj
www.uu.se
PhD student in Data Science for the analysis of online communication - Uppsala University, Sweden
PhD student in Data Science for the analysis of online communication, Uppsala University, Department of Information Technology, Uppsala University