Forwarded from انجمن فیزیک ایران (akram Mirhosseini)
دریافت اطلاعیه سمینار: https://telegram.me/UTPhysicsWeeklySeminars
⏪ وبگاه انجمن فیزیک ایران:
🌍 http://www.psi.ir
✅ به کانال خبرى انجمن فیزیک ايران بپيوندید:
👇👇🏽👇👇🏽👇
http://t.me/psinews
⏪ وبگاه انجمن فیزیک ایران:
🌍 http://www.psi.ir
✅ به کانال خبرى انجمن فیزیک ايران بپيوندید:
👇👇🏽👇👇🏽👇
http://t.me/psinews
#سمینارهای_هفتگی دانشکده فیزیک، دانشگاه شهید بهشتی
🔹سهشنبه، ۱۵ اسفند ، ساعت ۱۵:۱۵ -تالار ابنهیثم - دانشکده فیزیک دانشگاه شهید بهشتی
@carimi
🔹سهشنبه، ۱۵ اسفند ، ساعت ۱۵:۱۵ -تالار ابنهیثم - دانشکده فیزیک دانشگاه شهید بهشتی
@carimi
Forwarded from انجمن علمی شناسا
💠 همایش مغز، ذهن و شناخت
🕰 چهارشنبه ۱۶ اسفند ساعت ۱۳ الی ۱۷
پنجشنبه ۱۷ اسفند ساعت ۹ الی ۱۷
🏛 سالن کهربا دانشکده مهندسی برق
🌐 ثبتنام در evnd.co/IJvkP
#BrainAwarenessWeek
@Shenasa_Sharif
🕰 چهارشنبه ۱۶ اسفند ساعت ۱۳ الی ۱۷
پنجشنبه ۱۷ اسفند ساعت ۹ الی ۱۷
🏛 سالن کهربا دانشکده مهندسی برق
🌐 ثبتنام در evnd.co/IJvkP
#BrainAwarenessWeek
@Shenasa_Sharif
Complex Systems Studies
VIII GEFENOL Summer School on Statistical Physics of Complex Systems. 2-13 July in Campus UIB. Applications received by March 1 will be considered for early admission: https://school2018.gefenol.es
This is the second announcement of the VIII Summer School on Statistical Physics of
Complex Systems promoted by the Topical Group on Statistical and Nonlinear
Physics (GEFENOL) of the Spanish Physical Society. The School follows the
previous successful editions which took place in Palma de Mallorca (2011,
2013, 2014, 2017), Benasque (2012), Barcelona (2015) and Pamplona (2016).
The school, oriented to Master and PhD students and young postdocs worldwide
will take place at IFISC (CSIC-UIB) in Palma de Mallorca, Spain, on July 2-13, 2018
and will include six courses:
* Stochastic delay systems, by Tobias Galla, The University of Manchester.
* Bayesian inference in complex networks, by Marta Sales-Pardo, Universitat Rovira i Virgili.
* Deep learning from a statistical physics perspective, by Raúl Vicente, Univerty of Tartu
* Spreading phenomena in networks, by Claudio Castellano, Istituto dei Sistemi Complessi (ISC-CNR).
* Geometric frustration in soft matter systems, by Pietro Tierno, Universitat de Barcelona.
* Transport in nanosystems, by David Sánchez, IFISC (CSIC-UIB).
Additional keynote talks, hands-on sessions, and presentations by the participants
will also be scheduled.
Further details are posted at the web site of the school https://school2018.gefenol.es/
The number of participants is limited. The deadline to apply is March 22, 2018. Applications can be
submitted at https://school2018.gefenol.es/Application/.
Complex Systems promoted by the Topical Group on Statistical and Nonlinear
Physics (GEFENOL) of the Spanish Physical Society. The School follows the
previous successful editions which took place in Palma de Mallorca (2011,
2013, 2014, 2017), Benasque (2012), Barcelona (2015) and Pamplona (2016).
The school, oriented to Master and PhD students and young postdocs worldwide
will take place at IFISC (CSIC-UIB) in Palma de Mallorca, Spain, on July 2-13, 2018
and will include six courses:
* Stochastic delay systems, by Tobias Galla, The University of Manchester.
* Bayesian inference in complex networks, by Marta Sales-Pardo, Universitat Rovira i Virgili.
* Deep learning from a statistical physics perspective, by Raúl Vicente, Univerty of Tartu
* Spreading phenomena in networks, by Claudio Castellano, Istituto dei Sistemi Complessi (ISC-CNR).
* Geometric frustration in soft matter systems, by Pietro Tierno, Universitat de Barcelona.
* Transport in nanosystems, by David Sánchez, IFISC (CSIC-UIB).
Additional keynote talks, hands-on sessions, and presentations by the participants
will also be scheduled.
Further details are posted at the web site of the school https://school2018.gefenol.es/
The number of participants is limited. The deadline to apply is March 22, 2018. Applications can be
submitted at https://school2018.gefenol.es/Application/.
school2018.gefenol.es
GEFENOL Summer School 2018
VIII Gefenol Summer School on Statistical Physics of Complex and Small Systems.
https://www.technologyreview.com/s/610395/if-youre-so-smart-why-arent-you-rich-turns-out-its-just-chance
arxiv.org/pdf/1802.07068.pdf
arxiv.org/pdf/1802.07068.pdf
MIT Technology Review
If you’re so smart, why aren’t you rich? Turns out it’s just chance.
The distribution of wealth follows a well-known pattern sometimes called an 80:20 rule: 80 percent of the wealth is owned by 20 percent of the people. Indeed, a report last year concluded that just eight men had a total wealth equivalent to that of the world’s…
Inverse problems in science/math consist of finding constants/parameters/underlying relations of a system from observations. Here is a nice tutorial about inverse relations in science/math.
https://cmontalto.wordpress.com/2013/03/08/what-are-inverse-problems/amp/
https://cmontalto.wordpress.com/2013/03/08/what-are-inverse-problems/amp/
Scattering Ideas
What are inverse problems?
Inverse Problems is a research area dealing with inversion of models or data. An inverse problem is a mathematical framework that is used to obtain information about a physical object or system fro…
The Statistics section of the Department of Mathematics at Imperial College London seeks applications for a permanent lecturing position, starting on 1 September 2018, or as soon as possible thereafter. This position is made possible by the award of the Lloyd’s Register Foundation / Royal Academy of Engineering Research Chair in Data Centric Engineering to Professor M.A. Girolami.
Further information about the Statistics Section can be found at http://www3.imperial.ac.uk/statistics.
• Reference NAT00112
• Date posted 9 March 2018
• Closing date 13 April 2018
https://www.imperial.ac.uk/jobs/denoscription/NAT00112/lecturer-data-centric-engineering-and-statistics
Further information about the Statistics Section can be found at http://www3.imperial.ac.uk/statistics.
• Reference NAT00112
• Date posted 9 March 2018
• Closing date 13 April 2018
https://www.imperial.ac.uk/jobs/denoscription/NAT00112/lecturer-data-centric-engineering-and-statistics
Imperial College London
Statistics
This is the website of the Statistics section of the Department of Mathematics at Imperial College London