Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Brandenburgische Technische Universität Cottbus
- Leibniz
- Academic Europe
- DAAD
- FH Münster
- Fraunhofer-Gesellschaft
- European Magnetism Association EMA
- GFZ Helmholtz-Zentrum für Geoforschung
- Goethe University Frankfurt
- Goethe-Universität Frankfurt am Main
- Heinrich-Heine-Universität Düsseldorf
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Karlsruher Institut für Technologie (KIT)
- LEUPHANA UNIVERSITY OF LUENEBURG
- Leibniz Universität Hannover
- Saarland University
- Technische Hochschule Köln
- University of Cologne
- University of Göttingen
- University of Oldenburg
- University of Tübingen
- 14 more »
- « less
-
Field
-
machine learning (data-driven modeling, machine-learned force fields (MLFF), structure-property relationships) for the evaluation of large data sets and to generate new research approaches. In teaching, the
-
control, and process optimization. You will work on the development of deterministic population balance models, conduct single-crystal and batch crystallization experiments, and apply modern machine
-
robust, user-friendly frameworks for multimodal elastography and enabling deployment on portable devices (e.g., smartphones) for real-time diagnostics. The research combines continuum mechanics, machine
-
robust, user-friendly frameworks for multimodal elastography and enabling deployment on portable devices (e.g., smartphones) for real-time diagnostics. The research combines continuum mechanics, machine
-
W3 or W2 with tenure track to W3 professorship in General Geophysics / W2 professorship in Geographi
measurement methods, experimental and numerical simulations, and machine learning/big data. Our future colleague is expected to significantly contribute to establishing the new interdisciplinary focus on Earth
-
location Cottbus-Senftenberg and increase its visibility. Through innovative research and new teaching and learning formats, the BTU is shaping the future: with scientific findings and practice-relevant
-
, and apply modern machine learning approaches yielding hybrid and reduced order models to enable real-time applications. In collaborating with industrial partners you will integrate real-world data and
-
28.05.2025, Wissenschaftliches Personal We are looking for talented and ambitious scientists interested in unique interdisciplinary research, integrating machine learning, molecular simulations
-
also integrates innovative tools and data-driven and/or AI-based methods, such as agent-based modeling, machine learning or large language models, to explore human behavior in sustainability contexts and
-
on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will