💰 We are looking for a #postdoc
https://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html
Join us to develop & apply new approaches for #MachineLearning on neuroimaging and clinical datasets.
https://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html
Join us to develop & apply new approaches for #MachineLearning on neuroimaging and clinical datasets.
Forwarded from Complex Networks (SBU)
#سمینارهای_هفتگی
عنوان:
دینامیک توازن در شبکههای درشت-دانه بندی شده
🗣 بهار بلوک آذری - دانشگاه شهید بهشتی
⏰ دوشنبه، 25 آذر - ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابنهیثم
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🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
تماس با ما: @ccnsd_admin
🕸 @CCNSD 🔗 ccnsd.ir
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عنوان:
دینامیک توازن در شبکههای درشت-دانه بندی شده
🗣 بهار بلوک آذری - دانشگاه شهید بهشتی
⏰ دوشنبه، 25 آذر - ساعت ۱۶:۰۰
🏛 محل برگزاری: سالن ابنهیثم
~~~~~~~~~~~~~~~~
🕸 مرکز شبکههای پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی
تماس با ما: @ccnsd_admin
🕸 @CCNSD 🔗 ccnsd.ir
—————————————
Forwarded from Complex Networks (SBU)
Appearance of a new universality class in a competition
Abbas Ali Saberi
16:30- 17:30 , 26 Azar
Ibn Al-Haytham Hall, Physics Department, SBU
During the last decade, it has been shown that the universality in various growth models belonging to the Kardar-Parisi-Zhang (KPZ) class holds beyond the second moment in which the height fluctuations of the (1+1)-D model are connected to the Tracy-Widom (TW) distribution of the Gaussian unitary (and orthogonal) random matrix ensembles (GUE or GOE). In this talk, I will first review the progress in the field and then report on the universality of height fluctuations at the crossing point of two interacting (1+1)-D KPZ interfaces with curved and flat initial conditions. I will show that a new class will show up in the competition. I will also discuss possible applications in nonequilibrium transport and traffic flow.
Abbas Ali Saberi
16:30- 17:30 , 26 Azar
Ibn Al-Haytham Hall, Physics Department, SBU
During the last decade, it has been shown that the universality in various growth models belonging to the Kardar-Parisi-Zhang (KPZ) class holds beyond the second moment in which the height fluctuations of the (1+1)-D model are connected to the Tracy-Widom (TW) distribution of the Gaussian unitary (and orthogonal) random matrix ensembles (GUE or GOE). In this talk, I will first review the progress in the field and then report on the universality of height fluctuations at the crossing point of two interacting (1+1)-D KPZ interfaces with curved and flat initial conditions. I will show that a new class will show up in the competition. I will also discuss possible applications in nonequilibrium transport and traffic flow.
Forwarded from Complex Networks (SBU)
📛 ضمن عذرخواهی از همه عزیزان، متاسفانه سخنرانی دکتر صابری در دانشکده فیزیک دانشگاه شهید بهشتی به دلیل آلودگی هوا و تعطیلیهای صورت گرفته، به روز دیگری سپرده شد.
با آرزوی روزهایی پاک و مسئولینی خردمند!
با آرزوی روزهایی پاک و مسئولینی خردمند!
Complex Systems Studies pinned «📛 ضمن عذرخواهی از همه عزیزان، متاسفانه سخنرانی دکتر صابری در دانشکده فیزیک دانشگاه شهید بهشتی به دلیل آلودگی هوا و تعطیلیهای صورت گرفته، به روز دیگری سپرده شد. با آرزوی روزهایی پاک و مسئولینی خردمند!»
💰 Applications are open for #FullyFunded #Studentships in the #Mathematics of #RandomSystems in our @CDTRandomSys Centre for Doctoral Training based at @imperialcollege and @UniofOxford #PhD #DPhil
t.co/Nljg1rmowI
t.co/Nljg1rmowI
Twitter
EPSRC Random Systems CDT
Applications are open for #FullyFunded #Studentships in the #Mathematics of #RandomSystems in our @CDTRandomSys Centre for Doctoral Training based at @imperialcollege and @UniofOxford #PhD #DPhil #postgrad #Maths https://t.co/NHAZuwIEic
The deadline to apply is 29 February 2020.
The QLS Diploma programme is aimed at providing students with a quantitative and theoretical background that can allow them to access postgraduate programmes in a broad range of disciplines, including biophysics, quantitative biology and neuroscience, theoretical systems ecology, economics, data science, and machine learning.
The diploma is organized along five main courses, on:
Probability and Information Theory
Quantitative Biology
Neuroscience
Ecology and Evolution
Machine Learning and Artificial Intelligence
https://diploma.ictp.it/courses/qls.aspx
The QLS Diploma programme is aimed at providing students with a quantitative and theoretical background that can allow them to access postgraduate programmes in a broad range of disciplines, including biophysics, quantitative biology and neuroscience, theoretical systems ecology, economics, data science, and machine learning.
The diploma is organized along five main courses, on:
Probability and Information Theory
Quantitative Biology
Neuroscience
Ecology and Evolution
Machine Learning and Artificial Intelligence
https://diploma.ictp.it/courses/qls.aspx
"From Scratch Machine Learning"
It's a *golden* resource if you learn like I do (by building things from scratch).
Happy learning!
#100DaysOfMLCode #100DaysOfCode
https://t.co/LcoPAQBULv
It's a *golden* resource if you learn like I do (by building things from scratch).
Happy learning!
#100DaysOfMLCode #100DaysOfCode
https://t.co/LcoPAQBULv
💰 Jobs! 4 #post_doc positions in Berlin at @Max_Planck_CHM seeking ppl with bayes, causal inference, network analysis skills. https://t.co/LabjvPyTwP
www.mpib-berlin.mpg.de
Vacancies
💻 کارگاه آموزشی علوم اجتماعی رایانشی
⚪️ مدرس: دکتر میثم علیزاده (پژوهشگر فوق دکترای دانشگاه پرینستون)
🗓 زمان: ۴ و ۱۱ دی ۱۳۹۸
📌 مکان: دانشگاه صنعتی شریف
➕برای اطلاعات بیشتر و ثبت نام:
https://evnd.co/TO8hj
___
@CSS_2019
🆔 @ComplexSys
⚪️ مدرس: دکتر میثم علیزاده (پژوهشگر فوق دکترای دانشگاه پرینستون)
🗓 زمان: ۴ و ۱۱ دی ۱۳۹۸
📌 مکان: دانشگاه صنعتی شریف
➕برای اطلاعات بیشتر و ثبت نام:
https://evnd.co/TO8hj
___
@CSS_2019
🆔 @ComplexSys
Do you want to study complex systems? https://t.co/zTYHTUC1o1.
admissions open until 3.1.2020! #MSc #complexity https://t.co/cbCqjU6aaR
admissions open until 3.1.2020! #MSc #complexity https://t.co/cbCqjU6aaR
Forwarded from Complex Networks (SBU)
🎤 سمینار عمومی این هفته دانشکده فیزیک
🗣 Ali Faqeeh,
Postdoctoral Fellow, University of Limerick and Indiana University, Bloomington
Title: Modelling and analysis of spreading processes in social platforms
Abstract:
The spreading processes appear on social systems in various forms, from the spread of diseases among civilians to information diffusion and dissemination of ideas, opinions or attitudes. The behavior of each of these phenomena is drawn from a rather complex set of characteristics of the agents (people) in the social system and also impacted by properties of the system such as the connection patterns between the individuals (i.e., the network structure) and the function and characteristics of the dynamics.
In this seminar, I discuss our recent studies on social spreading processes, each of which concerns an interesting aspect of such phenomena. Firstly, I describe our recent analysis of the dissemination of scientific research using the body of the text of more than 230,000 publications. Then I talk about our analysis and modelling of information propagation on Twitter and show how similarity of users’ interests affects the diffusion of twits. Lastly, I introduce a new efficient metric for determining the most influential spreaders for various types of spreading processes that operate on social networks.
📆 سهشنبه، سوم دیماه
⏰ ۴:۰۰ الی ۵:۰۰ بعدازظهر
🏛 تالار ابنهیثم، دانشکده فیزیک، دانشگاه شهید بهشتی
🗣 Ali Faqeeh,
Postdoctoral Fellow, University of Limerick and Indiana University, Bloomington
Title: Modelling and analysis of spreading processes in social platforms
Abstract:
The spreading processes appear on social systems in various forms, from the spread of diseases among civilians to information diffusion and dissemination of ideas, opinions or attitudes. The behavior of each of these phenomena is drawn from a rather complex set of characteristics of the agents (people) in the social system and also impacted by properties of the system such as the connection patterns between the individuals (i.e., the network structure) and the function and characteristics of the dynamics.
In this seminar, I discuss our recent studies on social spreading processes, each of which concerns an interesting aspect of such phenomena. Firstly, I describe our recent analysis of the dissemination of scientific research using the body of the text of more than 230,000 publications. Then I talk about our analysis and modelling of information propagation on Twitter and show how similarity of users’ interests affects the diffusion of twits. Lastly, I introduce a new efficient metric for determining the most influential spreaders for various types of spreading processes that operate on social networks.
📆 سهشنبه، سوم دیماه
⏰ ۴:۰۰ الی ۵:۰۰ بعدازظهر
🏛 تالار ابنهیثم، دانشکده فیزیک، دانشگاه شهید بهشتی