💰 The Helsinki Doctoral Education Network in Information and Communications Technology (HICT) has 40 open positions for Doctoral Students!
The participating units of HICT have currently funding available for exceptionally qualified doctoral students. We offer the possibility to join world-class research groups, with multiple research projects to choose from. The activities of HICT and the open positions are structured along five research area specific tracks:
🔵 Algorithms and machine learning
🔵 Life science informatics
🔵 Networks, networked systems and services
🔵 Software and service engineering and systems
🔵 User centered and creative technologies
If you wish to be considered as a potential new doctoral student in HICT you can apply to one or a number of doctoral student positions. We welcome applicants with diverse backgrounds, and qualified female candidates are explicitly encouraged to apply.
#phd Deadline 02.02.2021
http://www.hict.fi/spring2021
The participating units of HICT have currently funding available for exceptionally qualified doctoral students. We offer the possibility to join world-class research groups, with multiple research projects to choose from. The activities of HICT and the open positions are structured along five research area specific tracks:
🔵 Algorithms and machine learning
🔵 Life science informatics
🔵 Networks, networked systems and services
🔵 Software and service engineering and systems
🔵 User centered and creative technologies
If you wish to be considered as a potential new doctoral student in HICT you can apply to one or a number of doctoral student positions. We welcome applicants with diverse backgrounds, and qualified female candidates are explicitly encouraged to apply.
#phd Deadline 02.02.2021
http://www.hict.fi/spring2021
#Networks2021 session on advances in #multilayer #network analysis. Abstract submission open until Jan 24
https://networks2021.net/program
https://networks2021.net/program
Apply now for the Spring College on the Physics of Complex Systems: https://t.co/eoXGuCUTdT
#ComplexSystems
#ComplexSystems
We're looking for #undergraduate students interested in #research in #mathBio and #quantBio this summer -- come join us (virtually) at the NSF-Simons Center for @QuantBiology! Application deadline: Jan. 25, 2021
https://www.quantitativebiology.northwestern.edu/opportunities/undergraduate-summer-research/
https://www.quantitativebiology.northwestern.edu/opportunities/undergraduate-summer-research/
NSF-Simons Center for Quantitative Biology
Quantitative Biology Undergraduate Summer Research Program
Visit the post for more.
💰 International Max Planck Research School IMPRS “From Molecules to Organisms”
International Max Planck Research School IMPRS “From Molecules to Organisms”
#PhD positions in the life sciences https://academicpositions.com/ad/international-max-planck-research-school-imprs-molecules-organisms/2020/phd-positions-in-the-life-sciences-starting-september-2021/151797
International Max Planck Research School IMPRS “From Molecules to Organisms”
#PhD positions in the life sciences https://academicpositions.com/ad/international-max-planck-research-school-imprs-molecules-organisms/2020/phd-positions-in-the-life-sciences-starting-september-2021/151797
Academicpositions
PhD positions in the life sciences starting September 2021 - Academic Positions
Job Denoscription:
. Apply now to join our PhD program in the life sciences.. The special feature of our program is its emphasis on interdisciplinary interactions..
. Apply now to join our PhD program in the life sciences.. The special feature of our program is its emphasis on interdisciplinary interactions..
💰 #PhD Position in Signal Processing for Music Analysis - Academic Positions
https://en.academicpositions.be/ad/ku-leuven/2020/phd-position-in-signal-processing-for-music-analysis/152296
https://en.academicpositions.be/ad/ku-leuven/2020/phd-position-in-signal-processing-for-music-analysis/152296
en.academicpositions.be
Academic, research and science jobs - Academic Positions
Find academic, research and science jobs. Search and apply for job opportunities or sign up for job alerts today!
Generating Multivariate Gaussian Random Numbers
https://aishack.in/tutorials/generating-multivariate-gaussian-random/
https://aishack.in/tutorials/generating-multivariate-gaussian-random/
Forwarded from انجمن علمی فیزیک بهشتی (SBU)
کنفرانس فیزیک اقتصاد و اقتصاد پیچیدگی
⭕️ ۱۳ و ۱۴ اسفندماه ۱۳۹۹
دانشگاه شهید بهشتی و انجمن مالی ایران (مجازی)
مهلت ارسال مقالات: ۹ بهمنماه ۱۳۹۹
ثبتنام و اطلاعات بیشتر:
http://complexityeconomics.ir
@EconophysicsConf
______________________________
#کنفرانس #سیستم_های_پیچیده
@sbu_physics
⭕️ ۱۳ و ۱۴ اسفندماه ۱۳۹۹
دانشگاه شهید بهشتی و انجمن مالی ایران (مجازی)
مهلت ارسال مقالات: ۹ بهمنماه ۱۳۹۹
ثبتنام و اطلاعات بیشتر:
http://complexityeconomics.ir
@EconophysicsConf
______________________________
#کنفرانس #سیستم_های_پیچیده
@sbu_physics
Apply now for the 20th International Workshop on #ComputationalPhysics and #MaterialsScience: Total Energy and Force Methods.
📌 Deadline for applications with Talks and/or Posters: 15 January 2021
📌 Deadline for other applications: 7 February 2021
https://t.co/Q1VQhLui8M
📌 Deadline for applications with Talks and/or Posters: 15 January 2021
📌 Deadline for other applications: 7 February 2021
https://t.co/Q1VQhLui8M
Forwarded from انجمن علمی فیزیک بهشتی (SBU)
Complexity meets criticality
⏰ شنبه ۱۳ دی ماه؛ ساعت ۱۶
🔴 لینک ورود به GoogleMeet
🔸 لطفا هنگام ورود دوربین و میکروفون خود را خاموش نمایید.
_________________________
#سمینار_هفتگی
@sbu_physics
⏰ شنبه ۱۳ دی ماه؛ ساعت ۱۶
🔴 لینک ورود به GoogleMeet
🔸 لطفا هنگام ورود دوربین و میکروفون خود را خاموش نمایید.
_________________________
#سمینار_هفتگی
@sbu_physics
Forwarded from Complex Networks (SBU)
Lifetime of links influences the evolution towards structural balance
S.Arabzadeh, M.Sherafati, F.Atyabi, G.R.Jafari, K.Kułakowski
https://www.sciencedirect.com/science/article/abs/pii/S0378437120309870?dgcid=coauthor
Abstract
A fully connected network is investigated with signed (friendly or hostile) links. We consider a time evolution which drives the network to a structurally balanced state. Usually a hypothesis is made tacitly that the states of links can be permanent. However in real networks these states can fluctuate. In this paper, we assign a lifetime to each link. When a link age exceeds its lifetime, its sign is substituted by a random value
and its age is set to zero. Then, two asymptotic behaviors are observed. When the lifetime is large, the system is balanced with only small fluctuations. When the lifetime is short, the system fluctuates randomly, far from the balanced state. A crossover is observed between these two regimes. The age distribution of the links depends on the lifetime. The results are discussed in the context of data on selected conflicts between political actors in Europe and the Middle East in the XX century.
S.Arabzadeh, M.Sherafati, F.Atyabi, G.R.Jafari, K.Kułakowski
https://www.sciencedirect.com/science/article/abs/pii/S0378437120309870?dgcid=coauthor
Abstract
A fully connected network is investigated with signed (friendly or hostile) links. We consider a time evolution which drives the network to a structurally balanced state. Usually a hypothesis is made tacitly that the states of links can be permanent. However in real networks these states can fluctuate. In this paper, we assign a lifetime to each link. When a link age exceeds its lifetime, its sign is substituted by a random value
and its age is set to zero. Then, two asymptotic behaviors are observed. When the lifetime is large, the system is balanced with only small fluctuations. When the lifetime is short, the system fluctuates randomly, far from the balanced state. A crossover is observed between these two regimes. The age distribution of the links depends on the lifetime. The results are discussed in the context of data on selected conflicts between political actors in Europe and the Middle East in the XX century.
Sciencedirect
Lifetime of links influences the evolution towards structural balance
A fully connected network is investigated with signed (friendly or hostile) links. We consider a time evolution which drives the network to a structur…
💰 We are looking for a #PhD student at the exciting frontier of collective behavior and #complexity science @CSHVienna
See attached flyer for some details https://t.co/r1N9BkcoFR.
Full details here: https://t.co/esLAwm1Imq.
See attached flyer for some details https://t.co/r1N9BkcoFR.
Full details here: https://t.co/esLAwm1Imq.
Forwarded from Complex Networks (SBU)
وبینار هفتگی دانشکده. امروز ۱۳ دی ساعت ۱۶:۳۰
*Complexity meets criticality*
سخنران: آقای دکتر افشین منتخب
دانشکده فیزیک، دانشگاه شیراز
میزبان: آقای دکتر جعفری
لینک وبینار: https://meet.google.com/pwg-otbe-gzm
*Complexity meets criticality*
سخنران: آقای دکتر افشین منتخب
دانشکده فیزیک، دانشگاه شیراز
میزبان: آقای دکتر جعفری
لینک وبینار: https://meet.google.com/pwg-otbe-gzm
🎞 Where does the statistics of complex systems come from? by Stefan Thurner
https://youtu.be/xsG0zdYAaIA
https://youtu.be/xsG0zdYAaIA
YouTube
Where does the statistics of complex systems come from? by Stefan Thurner
Program
Summer Research Program on Dynamics of Complex Systems
ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha
DATE : 15 May 2019 to 12 July 2019
VENUE : Madhava hall for…
Summer Research Program on Dynamics of Complex Systems
ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha
DATE : 15 May 2019 to 12 July 2019
VENUE : Madhava hall for…
🦠 Non-pharmaceutical interventions during the COVID-19 pandemic: a rapid review
Nicola Perra
Download PDF
Infectious diseases and human behavior are intertwined. On one side, our movements and interactions are the engines of transmission. On the other, the unfolding of viruses might induce changes to our daily activities. While intuitive, our understanding of such feedback loop is still limited. Before COVID-19 the literature on the subject was mainly theoretical and largely missed validation. The main issue was the lack of empirical data capturing behavioral change induced by diseases. Things have dramatically changed in 2020. Non-pharmaceutical interventions (NPIs) have been the key weapon against the SARS-CoV-2 virus and affected virtually any societal process. Travels bans, events cancellation, social distancing, curfews, and lockdowns have become unfortunately very familiar. The scale of the emergency, the ease of survey as well as crowdsourcing deployment guaranteed by the latest technology, several Data for Good programs developed by tech giants, major mobile phone providers, and other companies have allowed unprecedented access to data describing behavioral changes induced by the pandemic. Here, I aim to review some of the vast literature written on the subject of NPIs during the COVID-19 pandemic. In doing so, I analyze 347 articles written by more than 2518 of authors in the last 12 months. While the large majority of the sample was obtained by querying PubMed, it includes also a hand-curated list. Considering the focus, and methodology I have classified the sample into seven main categories: epidemic models, surveys, comments/perspectives, papers aiming to quantify the effects of NPIs, reviews, articles using data proxies to measure NPIs, and publicly available datasets describing NPIs. I summarize the methodology, data used, findings of the articles in each category and provide an outlook highlighting future challenges as well as opportunitie.
Nicola Perra
Download PDF
Infectious diseases and human behavior are intertwined. On one side, our movements and interactions are the engines of transmission. On the other, the unfolding of viruses might induce changes to our daily activities. While intuitive, our understanding of such feedback loop is still limited. Before COVID-19 the literature on the subject was mainly theoretical and largely missed validation. The main issue was the lack of empirical data capturing behavioral change induced by diseases. Things have dramatically changed in 2020. Non-pharmaceutical interventions (NPIs) have been the key weapon against the SARS-CoV-2 virus and affected virtually any societal process. Travels bans, events cancellation, social distancing, curfews, and lockdowns have become unfortunately very familiar. The scale of the emergency, the ease of survey as well as crowdsourcing deployment guaranteed by the latest technology, several Data for Good programs developed by tech giants, major mobile phone providers, and other companies have allowed unprecedented access to data describing behavioral changes induced by the pandemic. Here, I aim to review some of the vast literature written on the subject of NPIs during the COVID-19 pandemic. In doing so, I analyze 347 articles written by more than 2518 of authors in the last 12 months. While the large majority of the sample was obtained by querying PubMed, it includes also a hand-curated list. Considering the focus, and methodology I have classified the sample into seven main categories: epidemic models, surveys, comments/perspectives, papers aiming to quantify the effects of NPIs, reviews, articles using data proxies to measure NPIs, and publicly available datasets describing NPIs. I summarize the methodology, data used, findings of the articles in each category and provide an outlook highlighting future challenges as well as opportunitie.