Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Technical University of Munich
- Nature Careers
- Leibniz
- Forschungszentrum Jülich
- Free University of Berlin
- Heidelberg University
- University of Tübingen
- Universität Siegen
- DAAD
- University of Oldenburg
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- CISPA Helmholtz Center for Information Security
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Fraunhofer-Gesellschaft
- Friedrich Schiller University Jena
- GFZ Helmholtz-Zentrum für Geoforschung
- Georg August University of Göttingen
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Heraeus Covantics
- Hertie AI institute for brain health / University of Tübingen
- Johannes Gutenberg University Mainz
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Universitaetsklinikum Erlangen
- University of Tuebingen
- WIAS Berlin
- 19 more »
- « less
-
Field
-
analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 20 hours ago
and strategies. We recently developed machine learning tools to recover plasmids from metagenomic assemblies and characterized their ecology and evolution in the human gut (https://www.nature.com
-
related discipline. Strong expertise in machine learning, spiking neural networks, and computer architecture. Excellent programming and research skills. Interest in translational research and
-
-party research funding are expected. We are particularly interested in a candidate in any field of economics who leverages state-of-the-art machine learning and causal inference methods to innovative
-
adaptive robotic strategies. The work will involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models
-
-driven (machine learning) and model-driven techniques. As part of the DFG research project “Progressive, Spatio-Temporal Consistent Inline Activity Reconstruction and Recognition,” a doctoral position is
-
advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
-
of activities involved in the positions we are looking to fill, pooled together. Your specific responsibilities will depend on your skillset and experience. For example, if you are a computer scientist with
-
hosts. The project is centered on the integration and analysis of multiomics datasets utilizing advanced machine learning approaches and biological network analysis. The successful candidate will join an
-
project BEPREP (f/m/d) Your tasks: Apply and further develop machine learning methods for the analysis of health and climate data Conduct spatio-temporal analyses of patient and climate datasets to identify