Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, dynamical systems and statistical physics. The candidate will be jointly supervised by the Coventry team Dr Fei He and the Stellenbosch team Prof. Francesco Petruccione . This project will contribute
-
Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
-
cutting-edge research infrastructure, close supervision by Prof. Spits and Prof. Olsen, plus access to a broad international network of collaborators, a dynamic, supportive, and family-friendly lab culture
-
the Leibniz Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow
-
talented and highly gifted candidates to apply as Doctoral Researcher (m/f/div) in Microbiome Systems Biology The positions are initially limited to four years. The Microbiome Dynamics (MBD) department
-
mobility of migrants shape local populations? Developing a spatial microsimulation model of population dynamics with application in infectious disease modelling (DynaMIGs)”. DynaMIGs is a four-year
-
PhD. The duration includes an extension of up to six months (PhD) if approved for your candidature. This is the full-time, tax exempt rate which will index annually. If the PhD is undertaken part-time
-
. The position is hosted in the Leibniz Junior Research Group on “Probabilistic Methods for Dynamic Communication Networks” at WIAS and will be supervised by Prof. Dr. Benedikt Jahnel (WIAS & TU Braunschweig) and
-
Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
-
energy system models that incorporate a stronger Social Sciences and Humanities (SSH) perspective. By embedding societal dynamics, such models aim to capture a wider range of future uncertainties and