Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Forschungszentrum Jülich
- Leibniz
- Nature Careers
- University of Tübingen
- DAAD
- Technische Universität München
- University of Stuttgart •
- Brandenburgische Technische Universität Cottbus
- Christian-Albrechts-Universitaet zu Kiel
- FBN Dummerstorf
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Hochschule Niederrhein
- Humboldt-Universität zu Berlin
- Academic Europe
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Analytical Food Chemistry at Technical University of Munich
- Constructor University Bremen gGmbH
- Deutsches Elektronen-Synchrotron DESY
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- EBS Universität für Wirtschaft und Recht •
- ESO - European Southern Observatory
- Free University of Berlin
- Fritz Haber Institute of the Max Planck Society, Berlin
- Goethe University Frankfurt •
- Goethe-Universität Frankfurt am Main
- Hannover Medical School •
- Heidelberg University
- Helmholtz-Zentrum Umweltforschung
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Innovation and Competition, Munich
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Max Planck Institute for Multidisciplinary Sciences
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Radio Astronomy, Bonn
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Max Planck Institute of Geoanthropology, Jena
- NEC Laboratories Europe GmbH
- RPTU University Kaiserslautern-Landau •
- Saarland University
- Technical University of Darmstadt •
- University Hospital Würzburg
- University of Bamberg •
- University of Bremen •
- University of Göttingen •
- University of Konstanz •
- University of Stuttgart
- Universitätsklinikum Heidelberg – UK Mannheim GmbH
- cellumation GmbH
- 43 more »
- « less
-
Field
-
12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
-
divided into four areas with respective subgroups: »Optimization« »Processes and Materials« »Mathematics for Vehicles, Systems, and Plants« »Analytics and Computing« What you contribute You have completed
-
optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences
-
tensor network methods) and optimal transport, and we intend to appoint one doctoral candidate in each area. Successful applicants will hold or are about to complete a Masters in mathematics, and will have
-
beyond. The research aims to investigate all aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization
-
7-X (short W7-X), the world’s largest superconducting stellarator and a flagship facility for optimized stellarator physics. W7-X enables stable, high-performance plasma operation – critical
-
, determinants and implications of innovation and entrepreneurship processes, as well as their behavioral foundations. The department, headed by Prof Dietmar Harhoff, PhD, is searching as soon as possible for a
-
Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
quantum technologies. This research can be complemented by digital methods of process simulation and optimization, as well as machine learning. Requirements include an outstanding PhD in materials science
-
promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
-
-to-X systems using high-temperature electrolysis (SOEC). The developed methods will serve to optimise the operation of SOCs for hydrogen production both technically and economically and improve tolerance