Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Free University of Berlin
- Leibniz
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- University of Tübingen
- Academic Europe
- Brandenburgische Technische Universität Cottbus
- Carl von Ossietzky Universität Oldenburg
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- 1 more »
- « less
-
Field
-
Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
postdoctoral researchers, students, and visitors. The research The postdoctoral researchers will engage in theoretical and computational research in Nonequilibrium Statistical Physics and Active Matter. For more
-
conferences (including presenting your research results) and preparation of scientific publications with Peer-Review Your Profile: Completed university masters degree (physics/chemistry) with a PhD Strong
-
Deadline 19 Jan 2038 - 03:14 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in
-
Skip to main navigation Skip to content Skip to footer Skip to search Uni A-Z Contact Search Search (via Ecosia) Search Search Login Login Login Form Login Language Choose language German English
-
for livestock systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We
-
the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field
-
, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since
-
coordination with Prof. Dr. Harald Sack. Qualifications and Skills: A very good PhD degree in computer science or a comparable discipline. Very good software engineering skills. Excellent written and spoken