Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- University of Tübingen
- Heidelberg University
- Forschungszentrum Jülich
- Free University of Berlin
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Molecular Biomedicine, Münster
- Ruhr University Bochum
- Universitaetsklinikum Erlangen
- WIAS Berlin
- 6 more »
- « less
-
Field
-
is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
-
Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
holography. We are seeking a highly motivated postdoctor-al researcher to join our multidisciplinary team at the intersection of optics, electronics, machine learning, and atmospheric science. The successful
-
, 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
-
. The Leibniz Institute for Neurobiology (LIN) is an internationally recognized neuroscientific research institute and dedicated to the research on learning and memory. Our research comprises all organizational
-
to learn We offer: A varied and challenging job within a top-class network from politics, science, business and society Work in national and international networks with universities, research institutions
-
Mainmenu Information for Prospective Students Current Students Staff Teaching Staff Alumni Media Business Lifelong learning Quicklinks All Degree Programs ALMA Portal Excellence Strategy Staff Search (EPV
-
Tübingen offers a combination of high-performance medicine and strong research. The goal of the Carl-Zeiss-Project “Certification and Foundations of Safe Machine Learning Systems in Healthcare” is to enable
-
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
-
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
-
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