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
💰 Fantastic opportunity to join a #PhD training programme with strong industry links, a large cohort of students, and of course brilliant academic supervision https://t.co/gcz6eFsorc
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به سرعت انتشار ویروس #کرونا توجه کنند.
با سلام
با کلیک بر روی لینک زیر👇 بصورت لحظه ای آخرین آمار مرگ ومیر ، ابتلا و جزئیات کروناویروس در ایران و جهان را می توانید دریافت نمائید .
https://www.worldometers.info/coronavirus/
با کلیک بر روی لینک زیر👇 بصورت لحظه ای آخرین آمار مرگ ومیر ، ابتلا و جزئیات کروناویروس در ایران و جهان را می توانید دریافت نمائید .
https://www.worldometers.info/coronavirus/
www.worldometers.info
COVID - Coronavirus Statistics - Worldometer
Daily and weekly updated statistics tracking the number of COVID-19 cases, recovered, and deaths. Historical data with cumulative charts, graphs, and updates.
💡 Lessons learnt from 288 #COVID19 international cases:
importations over time, effect of interventions,
underdetection of imported cases
https://t.co/xY2wfUSJeO
importations over time, effect of interventions,
underdetection of imported cases
https://t.co/xY2wfUSJeO
book_chapter_10.pdf
20.7 MB
#کرونا | این فصل از کتاب شبکه باراباشی مدلهای اپیدمی رو توضیح داده. شاید خوب باشه که لاقل ما اهالی علم این بخش رو درست بخونیم و درک بهتری داشته باشیم از این مسئله. اگه جایی خواستیم نظر بدیم، کمی دقیقتر حرف بزنیم.
Just advertising three new #PhD positions focused on networks dynamics, biodiversity and social data. More soon.
💰 https://t.co/AKdpLLXPds
💰 https://t.co/Bk8o6YlZcL
💰 https://t.co/YrDLvDw851
💰 https://t.co/AKdpLLXPds
💰 https://t.co/Bk8o6YlZcL
💰 https://t.co/YrDLvDw851
Umantis
PhD Position "Modelling biodiversity in complex environments" (m/f/d)
Layout AWI Forschung englisch extern
Interacting contagions
Sune Lehmann
Nature Physics (2020)
Complex contagions — for example when ideas spread across a network — are thought to be different from the simple contagions observed for infections. Simple contagions are now shown to exhibit a key macroscopic characteristic of complex behaviour when they interact.
https://www.nature.com/articles/s41567-020-0817-9
Sune Lehmann
Nature Physics (2020)
Complex contagions — for example when ideas spread across a network — are thought to be different from the simple contagions observed for infections. Simple contagions are now shown to exhibit a key macroscopic characteristic of complex behaviour when they interact.
https://www.nature.com/articles/s41567-020-0817-9
🧬 Lecture on the Coronavirus outbreak
Feb 26th 10:15
https://memento.epfl.ch/event/lecture-on-the-coronavirus-outbreak-on-feb-26th-10/
The lecture will focus on the epidemiology of the ongoing coronavirus (COVID-19) outbreak, and will exceptionally be streamed on Zoom.
📺 Live stream from Youtube:
https://www.youtube.com/channel/UCyUR1k228kWH_coPfR7ffqw
Feb 26th 10:15
https://memento.epfl.ch/event/lecture-on-the-coronavirus-outbreak-on-feb-26th-10/
The lecture will focus on the epidemiology of the ongoing coronavirus (COVID-19) outbreak, and will exceptionally be streamed on Zoom.
📺 Live stream from Youtube:
https://www.youtube.com/channel/UCyUR1k228kWH_coPfR7ffqw
YouTube
EPFL Life Science - Talks and Lectures
EPFL School of Life Sciences fosters education, research and innovation at the interface of engineering and biology to advance the understanding of the livin...
🔅PhD position:
Candidates are sought for a funded PhD position in Data-Driven (Bayesian) Optimization for Problems with Dynamic Resource Constraints in the Decision and Cognitive Sciences Research Centre, at the Alliance Manchester Business School, The University of Manchester. The position is funded for a period of 4 years by EPSRC and IBM.
The #PhD position is associated with an iCASE studentship with IBM and will focus on the development of algorithms and decision support tools for closed-loop problems with dynamic resource constraints. This includes developing data-driven/Bayesian optimization algorithms capable of dealing with closed-loop problems subject to constraints that model the temporal availability of resources needed to evaluate a candidate solution.
The PhD student will be encouraged to collaborate with peers in the research centre and develop a wide range of skills including project management, mentoring of interns, and presentation skills. They will also be expected to present their work at major international conferences and participate in events linked to the Institute for Data Science and Artificial Intelligence at Manchester. Both the Institute and the Decision and Cognitive Sciences Research Centre are affiliated with the Alan Turing Institute providing access to the resources and network of the Institute through its fellows programme. This includes access to data study groups and interest groups at the Turing.
The student will be supervised by Dr Richard Allmendinger, Dr Manuel Lopez-Ibanez, Dr Jonathan Shapiro, and Prof Joshua Knowles. Dr Matt Benatan, Algorithms Subgroup Lead in Machine Learning and AI at IBM Research UK will act as external supervisor and lead the industrial input into this research. The ICASE studentship also offers the opportunity to be partly based at IBM Research UK.
The team at IBM Research is focused on cutting-edge research in advanced Bayesian modelling, including Bayesian Optimization, and are thus invested in how Bayesian Optimization can be extended to challenging optimization tasks. The project will therefore contribute directly to IBM's ongoing research with the opportunity for influencing future IBM products.
For instructions on how to apply, please refer to: https://www.jobs.ac.uk/job/BYV319/epsrc-ibm-industrial-case-phd-studentship-in-data-driven-optimization-tuning-bayesian-optimization-for-problems-with-dynamic-resource-constraints
Candidates are sought for a funded PhD position in Data-Driven (Bayesian) Optimization for Problems with Dynamic Resource Constraints in the Decision and Cognitive Sciences Research Centre, at the Alliance Manchester Business School, The University of Manchester. The position is funded for a period of 4 years by EPSRC and IBM.
The #PhD position is associated with an iCASE studentship with IBM and will focus on the development of algorithms and decision support tools for closed-loop problems with dynamic resource constraints. This includes developing data-driven/Bayesian optimization algorithms capable of dealing with closed-loop problems subject to constraints that model the temporal availability of resources needed to evaluate a candidate solution.
The PhD student will be encouraged to collaborate with peers in the research centre and develop a wide range of skills including project management, mentoring of interns, and presentation skills. They will also be expected to present their work at major international conferences and participate in events linked to the Institute for Data Science and Artificial Intelligence at Manchester. Both the Institute and the Decision and Cognitive Sciences Research Centre are affiliated with the Alan Turing Institute providing access to the resources and network of the Institute through its fellows programme. This includes access to data study groups and interest groups at the Turing.
The student will be supervised by Dr Richard Allmendinger, Dr Manuel Lopez-Ibanez, Dr Jonathan Shapiro, and Prof Joshua Knowles. Dr Matt Benatan, Algorithms Subgroup Lead in Machine Learning and AI at IBM Research UK will act as external supervisor and lead the industrial input into this research. The ICASE studentship also offers the opportunity to be partly based at IBM Research UK.
The team at IBM Research is focused on cutting-edge research in advanced Bayesian modelling, including Bayesian Optimization, and are thus invested in how Bayesian Optimization can be extended to challenging optimization tasks. The project will therefore contribute directly to IBM's ongoing research with the opportunity for influencing future IBM products.
For instructions on how to apply, please refer to: https://www.jobs.ac.uk/job/BYV319/epsrc-ibm-industrial-case-phd-studentship-in-data-driven-optimization-tuning-bayesian-optimization-for-problems-with-dynamic-resource-constraints
Jobs.ac.uk
Jobs | Job Search | Job Vacancies on jobs.ac.uk
Start your UK & international job search for academic jobs, research jobs, science jobs and managerial jobs in leading universities and top...
BREAKING: Daily Global and China Coronavirus updates.
https://t.co/7Ui2BWpj9j
https://t.co/7Ui2BWpj9j
IMG_20200227_205347.jpg
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BREAKING: Daily Global and China Coronavirus updates. https://t.co/7Ui2BWpj9j
💰 3 year bioinformatics #postdoc position in our group to work on #network integration in #Metabolomics within #Metclassnet DFG-ANR project
👉More details:
https://t.co/sPynKNAh0K
👉More details:
https://t.co/sPynKNAh0K
🦠 پیشنهاد میکنیم برای آگاهی از اطلاعات موثق و آخرین اخبار در مورد #کرونا ، این دو حساب را در توییتر دنبال کنید:
🧓🏻 Marc Lipsitch
https://twitter.com/mlipsitch
Director Center for Communicable Disease Dynamics at Harvard Chan
👩🏻 Dr. Tara C. Smith
https://twitter.com/aetiology
Professor, infectious disease epidemiologist
هر دوی این افراد متخصصهای بیماریهای واگیردار هستند.
#COVID19
🧓🏻 Marc Lipsitch
https://twitter.com/mlipsitch
Director Center for Communicable Disease Dynamics at Harvard Chan
👩🏻 Dr. Tara C. Smith
https://twitter.com/aetiology
Professor, infectious disease epidemiologist
هر دوی این افراد متخصصهای بیماریهای واگیردار هستند.
#COVID19
X (formerly Twitter)
Marc Lipsitch (@mlipsitch) on X
This place is getting more sinister, maybe on my way out. Director @CCDD_HSPH Tweets in personal capacity. Didn’t pay for blue check