Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Leibniz
- Forschungszentrum Jülich
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- University of Tübingen
- Free University of Berlin
- Fritz Haber Institute of the Max Planck Society, Berlin
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Mathematics in the Sciences
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- 2 more »
- « less
-
Field
-
teaching obligations. It offers the opportunity to pursue project-independent research in one of the group’s numerous research areas, with a focus on Applied Mathematics, Numerical Simulation, and various
-
Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 3 months ago
to bridge between physics, engineering, and mathematics Ability to communicate work in written and presentation form Ability to manage and organise projects with realistic time planning Ability
-
efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation
-
: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
-
: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
-
) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
-
PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical
-
) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
-
enjoys scientific discussion and interdisciplinary science. To be considered for this position, you must have a PhD in a field like physics and applied mathematics or a field related to one
-
, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic