Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Free University of Berlin
- Nature Careers
- CISPA Helmholtz Center for Information Security
- Heidelberg University
- Leibniz
- Max Planck Institute for Astrophysics, Garching
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for Physics, Garching
- University of Oldenburg
- 3 more »
- « less
-
Field
-
Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
-
, transfer learning or probilistic methods This would evaluate and potentially enhance the usability of deep learning models for complex tabular data with mixed continuous and categorical columns with non
-
Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research. The Department of Machine Learning for Infection and Disease is looking for a Postdoc (f
-
to joint research activities, publications, and surveys. Requirements PhD degree (or near completion) in robotics, control, machine learning, or a related field; Strong publication record demonstrating
-
involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
-
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 15 days ago
, the relation between human cognition and machine learning, and others. The position is offered for three years. The starting date is, in principle, flexible, while we aim to get started as soon as possible
-
processing methods, mechanistic computer models and software tools and to use them in highly relevant clinical, biotechnological and pharmaceutical applications at the forefront of research. All projects
-
Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 27 days ago
based on a combination of novel simulation techniques, Bayesian statistical methods and machine learning approaches. The successful candidate will work closely with Prof. Dr. Volker Springel, the director
-
to cover a wider variety of physics use cases. Developing methods to make machine-learning-based models portable and interoperable. Leading the definition of containerized and networked “Models as a Service
-
for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security