Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- University of Tübingen
- Heidelberg University
- Forschungszentrum Jülich
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Free University of Berlin
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- DAAD
- Fritz Haber Institute of the Max Planck Society, Berlin
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Friedrich Schiller University Jena
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Mathematics in the Sciences
- Max Planck Institute for Molecular Biomedicine, Münster
- Ruhr University Bochum
- Universitaetsklinikum Erlangen
- WIAS Berlin
- 13 more »
- « less
-
Field
-
, machine learning or causal inference for estimating, understanding and forecasting demographic and health outcomes, at the individual and aggregate levels, including as they relate to life course and socio
-
chemistry research groups, offering rich opportunities for collaboration and learning Extensive opportunities for personal development and training A large, green campus with sports facilities and a
-
results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
-
)! Tübingen has a long history of academic excellence (founded in 1477; DNA was discovered here ; linked to 11 Nobel laureates) and is an innovation center in medicine and machine learning. About Eberhard
-
experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 5 days ago
are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be
-
in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
-
The project will require coding for data analysis and statistics, as well as NGS data analysis. Experience with either of these would be advantageous but an eagerness and commitment to learn is more important
-
Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
learning. It also offers the opportunity to work with data from the European XFEL facility at DESY. Project website Your profile Eligible candidates have strong skills in computational physics and
-
protein biochemistry, single particle cryo-EM or cryo-ET is an asset, curiosity and willingness to learn new methods and adjust to technological developments a must. Strong written and oral