💰The LDE center for BOLD cities is looking for a #PhD candidate
🧨 Closing date
18 February 2020
Project denoscription
We are looking for an excellent PhD candidate to join a unique multidisciplinary project defined within the LDE (Leiden University, Delft University of Technology and Erasmus University) Centre for BOLD (Big Open and Linked Data) Cities. The project ennoscriptd ‘Data-driven, urban policymaking for social inclusion of young, vulnerable people’ compiles a team of researchers from psychology, architecture, computer science and public administration with the goal of identifying factors contributing to an inclusive school setting.
Selection criteria
MSc in data science, artificial intelligence, computer science, or a related discipline;
strong programming skills;
Experience with machine learning and data mining algorithms;
The project particularly encourages applications from candidates with a demonstrated affinity to the application of computational methods and algorithms for solving issues in other domains such as public policy;
https://www.universiteitleiden.nl/en/vacancies/2020/q1/20-057-6822-phd-candidate-data-driven-urban-policymaking-for-social-inclusion-of-young-vulnerable-people
🧨 Closing date
18 February 2020
Project denoscription
We are looking for an excellent PhD candidate to join a unique multidisciplinary project defined within the LDE (Leiden University, Delft University of Technology and Erasmus University) Centre for BOLD (Big Open and Linked Data) Cities. The project ennoscriptd ‘Data-driven, urban policymaking for social inclusion of young, vulnerable people’ compiles a team of researchers from psychology, architecture, computer science and public administration with the goal of identifying factors contributing to an inclusive school setting.
Selection criteria
MSc in data science, artificial intelligence, computer science, or a related discipline;
strong programming skills;
Experience with machine learning and data mining algorithms;
The project particularly encourages applications from candidates with a demonstrated affinity to the application of computational methods and algorithms for solving issues in other domains such as public policy;
https://www.universiteitleiden.nl/en/vacancies/2020/q1/20-057-6822-phd-candidate-data-driven-urban-policymaking-for-social-inclusion-of-young-vulnerable-people
💡 Louis Nirenberg reshaped how mathematicians understand and study dynamical systems, from cells to markets. https://t.co/pxG5tK4xKh
Nature
Louis Nirenberg (1925–2020)
Virtuoso mathematician who transformed the study of partial differential equations.
Real Madrid on the cover of the scientific journal Entropy? Read our last paper about Entropy, Networks & Football. Awesome combination!! https://t.co/hstZyhjtHd
Forwarded from Complex Systems Studies
Spring School
COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS
(6th edition)
Villa del Grumello, Como, Italy, 18-21 May 2020
https://ntmf.lakecomoschool.org/
DEADLINE FOR APPLICATION: February 23, 2020
CSS-TSS fee waivers
The Complex Systems Society (CSS), in the framework of the Thematic School Support (TSS) Program 2020, grants two fee waivers to support the attendance of PhD students and Junior Post Doctoral researchers who are members of the CSS.
Prospective participants who are eligible for the TSS grant should accompany their application (see the form below) with an email to the Organizing Committee (Carlo Piccardi, carlo.piccardi@polimi.it) requiring the fee waiver, providing evidence of their eligibility (academic status and CSS membership, holding at the application deadline, February 23, 2020) and motivations for their request. The acceptance will be notified together with the admission to the school (March 16, 2020).
COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS
(6th edition)
Villa del Grumello, Como, Italy, 18-21 May 2020
https://ntmf.lakecomoschool.org/
DEADLINE FOR APPLICATION: February 23, 2020
CSS-TSS fee waivers
The Complex Systems Society (CSS), in the framework of the Thematic School Support (TSS) Program 2020, grants two fee waivers to support the attendance of PhD students and Junior Post Doctoral researchers who are members of the CSS.
Prospective participants who are eligible for the TSS grant should accompany their application (see the form below) with an email to the Organizing Committee (Carlo Piccardi, carlo.piccardi@polimi.it) requiring the fee waiver, providing evidence of their eligibility (academic status and CSS membership, holding at the application deadline, February 23, 2020) and motivations for their request. The acceptance will be notified together with the admission to the school (March 16, 2020).
"Elitism in Mathematics and Inequality" (by Ho-Chun Herbert Chang, Feng Fu): https://t.co/Kss1o97yWA
"Our results demonstrate concerted efforts by international academic committees, such as prize-giving, are a powerful force to give equal access."
"Our results demonstrate concerted efforts by international academic committees, such as prize-giving, are a powerful force to give equal access."
💰I have funding to support a #PhD student on topics connected to collective behaviour and collective intelligence. I will be putting up some suggested projects soon, but if you want to discuss possible ideas please get in touch.
https://eps.leeds.ac.uk/maths/staff/4057/dr-richard-mann
https://eps.leeds.ac.uk/maths/staff/4057/dr-richard-mann
eps.leeds.ac.uk
Dr Richard Mann | School of Mathematics | University of Leeds
Profile for Dr Richard Mann, School of Mathematics, University of Leeds
💰 We are looking for a CS/engineer/physicist for a PhD position to work with fMRI and EEG within the frame of the @HumanBrainProj.
Check it out!
https://t.co/YeCS3Sf9CC
#PhD #findaphd #phdchat #phdlife
Check it out!
https://t.co/YeCS3Sf9CC
#PhD #findaphd #phdchat #phdlife
EURAXESS
PhD position available at the Coma Science Group - GIGA Consciousness, University of Liège, Belgium.
The Coma Science Group, directed by Pr. Steven Laureys, at the GIGA research Centre – University of Liege (https://www.gigacoma.uliege.be) is seeking to hire a highly motivated PhD student within the frame of Human Brain Project. Position starts on April…
the scaling laws in the dynamics of #coronavavirus #COVID19 case counts (and an explanation for them) here: https://t.co/MFAUbj1K5d
Forwarded from دفتر فرهنگی دانشکده فیزیک
🔰 دفتر فرهنگی دانشکده فیزیک علم و صنعت برگزار میکند:
✅ آشنایی با سیستم های پیچیده
سیستم های حرکت جمعی و کاربرد ها
چگونه فعالیت های جمعی در توییتر باعث فریب میشوند؟!
👤سخنران:
دکتر غلامرضا جعفری استاد دانشکده فیزیک دانشگاه شهید بهشتی
📆 زمان:
5ام اسفندماه ساعت 13
🏫 مکان:
دانشگاه علم صنعت - سالن سمینار دانشکده فیزیک شماره یک
➖➖➖➖➖➖➖➖➖➖➖
✅ دفتر فرهنگی دانشکده فیزیک
🌐 www.alphanity.ir
🆔 @DaftarFarhangi
📱 instagram.com/Dfp_iust
✅ آشنایی با سیستم های پیچیده
سیستم های حرکت جمعی و کاربرد ها
چگونه فعالیت های جمعی در توییتر باعث فریب میشوند؟!
👤سخنران:
دکتر غلامرضا جعفری استاد دانشکده فیزیک دانشگاه شهید بهشتی
📆 زمان:
5ام اسفندماه ساعت 13
🏫 مکان:
دانشگاه علم صنعت - سالن سمینار دانشکده فیزیک شماره یک
➖➖➖➖➖➖➖➖➖➖➖
✅ دفتر فرهنگی دانشکده فیزیک
🌐 www.alphanity.ir
🆔 @DaftarFarhangi
📱 instagram.com/Dfp_iust
"Bridging data science and dynamical systems theory" (by Tyrus Berry, Dimitrios Giannakis, John Harlim): https://arxiv.org/abs/2002.07928
"This short review describes mathematical techniques for statistical analysis and prediction in dynamical systems."
"This short review describes mathematical techniques for statistical analysis and prediction in dynamical systems."
Bayesian stochastic blockmodeling
Tiago P. Peixoto
last revised 6 Feb 2020 (this version, v8)
https://arxiv.org/pdf/1705.10225
This chapter provides a self-contained introduction to the use of Bayesian inference to extract large-scale modular structures from network data, based on the stochastic blockmodel (SBM), as well as its degree-corrected and overlapping generalizations. We focus on nonparametric formulations that allow their inference in a manner that prevents overfitting, and enables model selection. We discuss aspects of the choice of priors, in particular how to avoid underfitting via increased Bayesian hierarchies, and we contrast the task of sampling network partitions from the posterior distribution with finding the single point estimate that maximizes it, while describing efficient algorithms to perform either one. We also show how inferring the SBM can be used to predict missing and spurious links, and shed light on the fundamental limitations of the detectability of modular structures in networks.
Tiago P. Peixoto
last revised 6 Feb 2020 (this version, v8)
https://arxiv.org/pdf/1705.10225
This chapter provides a self-contained introduction to the use of Bayesian inference to extract large-scale modular structures from network data, based on the stochastic blockmodel (SBM), as well as its degree-corrected and overlapping generalizations. We focus on nonparametric formulations that allow their inference in a manner that prevents overfitting, and enables model selection. We discuss aspects of the choice of priors, in particular how to avoid underfitting via increased Bayesian hierarchies, and we contrast the task of sampling network partitions from the posterior distribution with finding the single point estimate that maximizes it, while describing efficient algorithms to perform either one. We also show how inferring the SBM can be used to predict missing and spurious links, and shed light on the fundamental limitations of the detectability of modular structures in networks.
Forwarded from Complex Networks (SBU)
یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستمهای پیچیده
۲۷ و ۲۸ فروردین ۱۳۹۹
⚡ مهلت ارسال مقاله تا ۵ اسفند ماه تمدید شد. ⚡
http://www.psi.ir/farsi.asp?page=smc99
۲۷ و ۲۸ فروردین ۱۳۹۹
⚡ مهلت ارسال مقاله تا ۵ اسفند ماه تمدید شد. ⚡
http://www.psi.ir/farsi.asp?page=smc99
www.psi.ir
Welcome to the PSI Web Site
The Physical Society of Iran Web Site.
Complex Systems Studies pinned «یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستمهای پیچیده ۲۷ و ۲۸ فروردین ۱۳۹۹ ⚡ مهلت ارسال مقاله تا ۵ اسفند ماه تمدید شد. ⚡ http://www.psi.ir/farsi.asp?page=smc99»
قبل از اینکه سر رأی دادن و ندادن با هم بجنگید، این را یک دور بازی کنید:
https://t.co/JejBjCAECa
@hamed_allaei
https://t.co/JejBjCAECa
@hamed_allaei
hamed.github.io
تکامل اعتماد
یک راهنمای تعاملی برای نظریه بازی درباره اینکه چرا به یکدیگر اعتماد میکنیم
On looking below the shoulders of giants is now out in PRR.
Learn how to deal with the full body of literature behind direct citations to articles.
https://t.co/72gIRPlnyD
Learn how to deal with the full body of literature behind direct citations to articles.
https://t.co/72gIRPlnyD