Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Leibniz
- Nature Careers
- Heidelberg University
- DAAD
- Forschungszentrum Jülich
- Free University of Berlin
- Max Planck Institute for Chemical Physics of Solids, Dresden
- University of Tübingen
- Fraunhofer-Gesellschaft
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Mathematics in the Sciences
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Physics, Garching
- Max Planck Institute for Social Law and Social Policy, Munich
- 6 more »
- « less
-
Field
-
development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 days ago
the structure from such data is challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine
-
detection probabilities Contribute to further improving and harmonizing random verification schemes, including sampling plans and random inspection schemes, and methodologies to evaluate their effectiveness
-
Correct), Bayesian statistics, systems theory and artificial intelligence are to be used as a basis in order to explore and implement a continuous calculation chain starting from observable and controllable
-
on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
-
The Clementi's group in the Physics Department at Freie Universität Berlin seeks a postdoctoral researcher (100%) to work on the development and application of new methodologies to discover new
-
utilizes a flexible and advanced detector setup to investigate nuclear structure and astrophysical processes through the detection of decay radiation from exotic nuclei. Experiments are currently being
-
reliability of R-Mode, particularly under varying environmental conditions. Key objectives include understanding the physical processes that affect R-Mode signal propagation, quantifying the variability
-
strong academic background in robotics and a keen interest in advancing the frontiers of deformable object manipulation. Ideal candidates are those aiming for a long-term research career in academia
-
in scope? Critically assessing the added value of 3D-based generative modelling compared to 2D-based approaches Tailored reward functions towards specific design objectives Dynamically incorporating