Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Nature Careers
- DAAD
- Leibniz
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Constructor University Bremen gGmbH
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Saarland University
- Deutsches Elektronen-Synchrotron DESY
- Deutsches Elektronen-Synchrotron DESY •
- Fritz Haber Institute of the Max Planck Society, Berlin
- GSI Helmholtzzentrum für Schwerionenforschung
- Heidelberg University
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Hereon
- Humboldt-Universität zu Berlin
- Lehrstuhl für Angewandte und Computergestützte Mathematik
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Ludwig-Maximilians-Universität München
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institutes
- NEC Laboratories Europe GmbH
- Saarland University •
- TU Dortmund
- Technische Universität München
- University of Bremen •
- University of Potsdam •
- University of Potsdam, Faculty of Science
- University of Siegen
- University of Tübingen
- Universität Siegen
- Universitätsklinikum Heidelberg – UK Mannheim GmbH
- cellumation GmbH
- 27 more »
- « less
-
Field
-
effectively over extended distances. For this purpose, it is essential to develop a robust mapping algorithm, that allows for continuous, online map growth during exploration and mapping operations. The map
-
experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular
-
physicians. support LIT scientists in processing, analysis interpretation and publication of transcriptomic, epigenomic and other high-throughput data. improve NGS data analysis algorithms and design novel
-
: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic
-
mathematics and its practical application. Our clients value our modeling expertise, algorithms, and software products. At Fraunhofer ITWM, we work on projects in high-tech and low-tech companies, in small and
-
Isaac Sim, ensuring realistic physics for hybrid locomotion. You will develop and train RL algorithms for hybrid locomotion tasks, including transitioning between locomotion modes and balancing on uneven
-
with antenna array signal processing techniques Sound understanding of optimization methods and algorithms Proficiency in Python programming Proven publication record in top-tier international journals
-
or functional properties. Collaborating closely with experimental partners to integrate decision-making algorithms into real scientific workflows. Publishing results in high-impact machine learning and
-
and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas
-
algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models