Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- Leibniz
- University of Tübingen
- Fraunhofer-Gesellschaft
- DAAD
- Humboldt-Stiftung Foundation
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- 1 more »
- « less
-
Field
-
energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a
-
Research profile in machine learning (e.g. robustness, out-of-distribution/anomaly detection, fairness, explainability, uncertainty quantification) or AI applications in the healthcare domain Interest in
-
to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
-
research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
-
, and characterization Develop gate implementations, benchmarking and algorithms Work on the interdisciplinary challenges in systems engineering Install and improve experimental setups and fabrication
-
unique three-dimensional maps of neurotransmitter receptor distributions in the human, non-human primate and rodent brain Develop efficient processing pipelines enabling the spatial integration
-
IMWS. This opens up new perspectives in electron energy loss spectroscopy (XEELS), enabling - among other things - the determination of pair distribution functions (based on EXELFS) with nanometer
-
, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
-
of acquisition, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text
-
distribute my fellowship months when I apply? No. Please create a project plan covering twelve months in Germany for your application. If you are selected for a fellowship, you will be required to notify