Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- Forschungszentrum Jülich
- DAAD
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Karlsruher Institut für Technologie (KIT)
- University of Tübingen
- ; Trinity College Dublin, The University of Dublin
- Bielefeld University
- Catholic University Eichstaett-Ingolstadt
- Fraunhofer-Gesellschaft
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ
- Leibniz University Hannover
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Dynamics and Self-Organization
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for the History of Science, Berlin
- Technische Universität Ilmenau
- Technische Universität München
- University of Bonn
- University of Greifswald
- 16 more »
- « less
-
Field
-
teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
-
master's degree (or equivalent diploma) and a PhD in meteorology, oceanography, or a related natural or geoscientific discipline with significant physical and mathematical components. It is essential
-
of Physical Geography. The applicant is expected (1) to use the provided research time to apply for third party funds (e.g., DFG, BMBF, ERC) in order to finance and to build up an own research group after
-
, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and algorithms, preferably in the domain of QC, such as
-
in physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the abovementioned fields. What we offer State of the art on-site high performance/GPU compute
-
leveraging probabilistic models of pragmatic language use and interpretation. This work involves philosophical / linguistic analysis, experiments with human participants, and mathematical / statistical
-
, Mathematics, Physics, or similar fields Broad interest in scientific topics Good knowledge of AI and applied Machine Learning Practical experience with High Performance Computing Systems as well as parallel
-
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
in physics, neuroscience, engineering, mathematics, computer science or a comparable subject. Proficiency with established neuroimaging software and one or more programming language is essential and
-
Leibniz University Hannover, Faculty of Mathematics and Physics Position ID: LUH_MAPHY -ALGGEOMERC25 [#25829] Position Title: Position Type: Postdoctoral Position Location: Hannover, Lower Saxony
-
Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
. The postdoctoral researcher should have a Ph.D. in theoretical physics, applied mathematics, or a related field as well as an interest in biological and soft matter physics. Expertise in studying pattern formation