Sort by
Refine Your Search
-
Listed
-
Employer
- DAAD
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- Leibniz
- Ludwig-Maximilians-Universität München •
- Humboldt-Stiftung Foundation
- University of Tübingen
- Hannover Medical School •
- University of Göttingen •
- Brandenburg University of Technology Cottbus-Senftenberg •
- GFZ Helmholtz Centre for Geosciences
- Technische Universität Berlin •
- University of Münster •
- ;
- Deutsches Elektronen-Synchrotron DESY •
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum München
- Hertie School •
- Karlsruhe Institute of Technology •
- Leipzig University •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Biological Intelligence •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Study of Societies •
- Max Planck Institute of Biochemistry •
- Max Planck Institutes
- RPTU University of Kaiserslautern-Landau •
- RWTH Aachen University
- Saarland University •
- TU Dresden
- Technical University of Darmstadt •
- University of Bamberg •
- University of Bremen •
- University of Potsdam •
- Universität Hamburg •
- 32 more »
- « less
-
Field
-
and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
-
that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
-
student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
-
coding skills for programming neural networks, machine learning and machine learning software frameworks (e.g. PyTorch or Jax) is a must. The ability for creative and analytical thinking across discipline
-
. Strong coding skills for programming neural networks, machine learning and machine learning software frameworks (e.g. PyTorch or Jax) is a must. The ability for creative and analytical thinking across
-
of topics is covered, from large-scale data management to data mining and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics
-
strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain
-
the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will strengthen the data science and machine learning activities of the IAS-9 with
-
domains are e.g., signal-/image processing, artificial intelligence and machine learning. Tasks: research and development in designing and programming field programmable gate arrays (FPGAs) for accelerating
-
learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms