🔅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

BREAKING: Daily Global and China Coronavirus updates.
https://t.co/7Ui2BWpj9j

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

🦠 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

Lessons from an earlier epidemic (SARS, 17 years ago), from ⁦Duncan Watts⁩.

Main point: in a connected world, a bit of fear is good.

https://t.co/zUFcCaCx5N

Key quote from the article: “our real concern ought not to be that we are too easily scared, but that we are too easily reassured.”

#coronavirus #COVIDー19 #covid19

💡 https://twitter.com/Arnaldo_AGITF/status/1233060020268519424?s=19

#کرونا | توصیه‌های دانشگاه علوم‌ پزشکی شهید بهشتی رو جدی بگیریم:

https://instagram.com/sbmu.ac?igshid=2g2voqiuyvxx

Abrupt phase transition of epidemic spreading in simplicial complexes

Joan T. Matamalas, Sergio Gómez, and Alex Arenas
Phys. Rev. Research 2, 012049(R) – Published 27 February 2020

https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.2.012049

Abstract
Recent studies on network geometry, a way of describing network structures as geometrical objects, are revolutionizing our way to understand dynamical processes on networked systems. Here, we cope with the problem of epidemic spreading, using the susceptible-infected-susceptible (SIS) model, in simplicial complexes. In particular, we analyze the dynamics of the SIS in complex networks characterized by pairwise interactions (links) and three-body interactions (filled triangles, also known as 2-simplices). This higher-order denoscription of the epidemic spreading is analytically formulated using a microscopic Markov chain approximation. The analysis of the fixed point solutions of the model reveals an interesting phase transition that becomes abrupt with the infectivity parameter of the 2-simplices. Our results pave the way to advance in our physical understanding of epidemic spreading in real scenarios where diseases are transmitted among groups as well as among pairs and to better understand the behavior of dynamical processes in simplicial complexes.

Summer school on Mathematical Methods in Computational Neuroscience

this 4 week summer school covers some of the most important methods used in computational neuroscience research through both main lectures and scientific seminars (5-6 main lectures per topic and 1-2 seminars by each invited seminar speaker) .

Organizers: Yasser Roudi and Benjamin Dunn

Kavli Moen Gård, Esfjord, Norway, 15 Jul- 15 Aug 2020.
⚡️ Application deadline: 15 May.
https://compneuronrsn.org

💧👐 چرا شستن دست‌ها واقعا همه‌گیری رو کند می‌کنه؟

https://www.medicalnewstoday.com/articles/why-hand-washing-really-could-slow-down-an-epidemic

Computer Simulation of the spread of a pandemic

The clip depicts the time course of an epidemic with outbreak in Mexico across the worldwide air-transportation network. This simulation is related to the actual spread of H1N1 in 2009.

The hidden patterns in complex global disease dynamics : Outbreak Atlanta

The video clip depicts a computer simulation of a global pandemic. The spreading takes place on the worldwide air transportation network of more than 4000 airports and 25000 direct links. The right panel shows the spread in the conventional geographic representation. The left panel shows the same dynamics in a more appropriate representation in which radial distance corresponds to an effective distance.
https://science.sciencemag.org/content/342/6164/1337

The hidden patterns in complex global disease dynamics : Outbreak Mexico City

The video clip depicts a computer simulation of a global pandemic. The spreading takes place on the worldwide air transportation network of more than 4000 airports and 25000 direct links. The right panel shows the spread in the conventional geographic representation. The left panel shows the same dynamics in a more appropriate representation in which radial distance corresponds to an effective distance.
http://rocs.hu-berlin.de/projects/hidden/index.html

The hidden patterns in complex global disease dynamics : Outbreak Paphos, Greece

e spreading takes place on the worldwide air transportation network of more than 4000 airports and 25000 direct links. The right panel shows the spread in the conventional geographic representation. The left panel shows the same dynamics in a more appropriate representation in which radial distance corresponds to an effective distance.
http://rocs.hu-berlin.de/projects/hidden/index.html