Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Ludwig-Maximilians-Universität München •
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Hereon
- Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf
- Constructor University Bremen gGmbH
- GFZ Helmholtz-Zentrum für Geoforschung
- Max Planck Institute for the Physics of Complex Systems
- Max Planck Institute for the Study of Societies •
- Nature Careers
- Saarland University
- University of Hamburg •
- University of Potsdam •
- University of Potsdam, Faculty of Science
- 7 more »
- « less
-
Field
-
theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
-
, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines Language requirements English C1 or equivalent Application deadline January, please see website for exact
-
Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
-
on advanced machine learning and emulation approaches. Key responsibilities: The candidates will be expected to work on the following tasks: - Develop machine learning (ML) methodologies appropriate
-
partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course
-
, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
-
streaming and batch processing. These efforts provide the foundation for advanced analytics, machine learning, and AI applications. The IDE Research School guides PhD researchers by offering a platform for
-
Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
-
research areas. New insights and synergetic effects resulting from collaboration between inherently different viewpoints of separate fields typically accompany this endeavour. Our task force on machine
-
estimation, causal discovery, and concept-based explanation techniques Integration of causal and XAI methods into machine learning pipelines within the CRC 1294 “Data Assimilation” Implementation, evaluation