Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- Leibniz
- University of Tübingen
- Ludwig-Maximilians-Universität München •
- Humboldt-Stiftung Foundation
- 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
- Georg August University of Göttingen
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum München
- Heraeus Covantics
- Hertie School •
- Karlsruhe Institute of Technology •
- Leipzig University •
- 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 •
- 33 more »
- « less
-
Field
-
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
-
, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
-
applications for a PhD Student or Postdoc Position (f/m/d) for any of the following topics: Combining non-equilibrium alchemistry with machine learning Free energy calculations for enzyme design Permeation and
-
data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning, and artificial intelligence with
-
(Wissenschaftszeitvertragsgesetz - WissZeitVG). A shorter contract term is possible by arrangement. The position aims at obtaining further academic qualification. Professional assignment: Chair of Machine Learning for Spatial
-
-driven energy systems research – scalable, transparent, and interoperable. Your tasks in detail: Development of a structured description format for the unambiguous and machine-readable characterization
-
Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image
-
play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
-
, physics, or similar, with a strong Machine Learning or simulation background In depth practical experience in at least one programming language (preferably Python) Ideally, some practical experience in
-
. He/she/they will learn and apply state-of-the-art molecular and cell biology technologies established in our team, ranging from in vivo disease models to multi-omics and single cell analysis