Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- DAAD
- Leibniz
- Fraunhofer-Gesellschaft
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Academic Europe
- CISPA Helmholtz Center for Information Security
- Center for NanoScience Munich
- Deutsches Elektronen-Synchrotron DESY •
- EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites
- Fraunhofer Institute for Wind Energy Systems IWES
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Hereon
- Karlsruher Institut für Technologie (KIT)
- Max Planck Institute for Molecular Genetics •
- Technische Hochschule Köln
- Uni Tuebingen
- University of Potsdam •
- University of Siegen
- University of Tuebingen
- Universität Bremen
- Universität Siegen
- 17 more »
- « less
-
Field
-
and/or statistical algorithms to classify building and land-use types relevant to electrical consumption Label and prepare training data for AI models; develop automated pipelines for classification
-
Disse), the Chair of Geoinformatics (Prof. Thomas H. Kolbe), and the Chair of Algorithmic Machine Learning & Explainable AI (Prof. Stefan Bauer). The project aims to develop an integrated urban flood
-
EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
predictive machine learning model; iii) based on the machine learning algorithms, develop PBF-LB Mg alloy with defined microstructure, improved mechanical and corrosion properties. Research stays are planned
-
sensitivity analysis, impact of the individual process parameters on the target properties and develop predictive machine learning model; iii) based on the machine learning algorithms, develop PBF-LB Mg alloy
-
to develop automated algorithms for downscaling drivetrain components for specific test purposes. Furthermore, you will perform multiple case studies to analyze the performance of the developed scaling methods
-
for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven exploration, optimization, and search algorithms in extremely complex and enormously large spaces
-
potential projects: Development of modern auto-differentiation (JAX-based) physics simulators for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven
-
Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26142 Postdoctoral fellow in Bioinformatics (m/w/d) Stellenanzeige merken Stellenanzeige teilen wanted
-
Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
of communicative AI appropriation by students and teachers in secondary schools and how this is interwoven with the data infrastructures, design decisions, data models, and algorithms of AI platform providers and
-
) determine, using sensitivity analysis, impact of the individual process parameters on the target properties and develop predictive machine learning model; iii) based on the machine learning algorithms