Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Nature Careers
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Leibniz
- Academic Europe
- Brandenburgische Technische Universität Cottbus
- DAAD
- FH Münster
- Fraunhofer-Gesellschaft
- EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites
- European Magnetism Association EMA
- GFZ Helmholtz-Zentrum für Geoforschung
- Goethe University Frankfurt
- Goethe-Universität Frankfurt am Main
- Heinrich-Heine-Universität Düsseldorf
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Karlsruher Institut für Technologie (KIT)
- Leibniz Universität Hannover
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
- Saarland University
- Technische Hochschule Köln
- Universitaet Muenster
- University Medical Center of the Johannes Gutenberg University Mainz
- University of Cologne
- University of Göttingen
- University of Oldenburg
- University of Tübingen
- 18 more »
- « less
-
Field
-
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
-
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
-
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
-
, 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
-
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
-
of computer vision and machine learning methods for automated analysis and processing of multimodal remote sensing data. About us The Technical University of Munich (TUM) is committed to excellence in research
-
Learning in Earth Observation (ML4Earth). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University