Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- Forschungszentrum Jülich
- University of Tübingen
- Heidelberg University
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- ; Technical University of Denmark
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Biology Tübingen, Tübingen
- Max Planck Institute for Chemical Physics of Solids, Dresden
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Nuclear Physics, Heidelberg
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Biophysics, Frankfurt am Main
- 11 more »
- « less
-
Field
-
-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
-
: Heidelberg Institute of Global Health Location: Heidelberg Start date: as soon as possible Job Category: Science and teaching Working hours: full-/ part-time Published: 18.07.2025 Limitation:Temporary (limited
-
code quality is a must. Additional knowledge on machine learning (e.g., scikit-learn, Pytorch, and generative chemistry) and free energy calculations is beneficial. Outstanding creativity, critical
-
, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able
-
field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
-
: Heidelberg Institute of Global Health Location: Heidelberg Start date: at the earliest possible date Job Category: Science and teaching Working hours: full-time Published: 18.07.2025 Limitation:Temporary
-
requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
-
include the University of Oxford, Imperial College London and Ukrainian and British policymakers. What we look for PhD in a policy-related field (e.g., public policy, political economy, economics, political
-
Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org
-
guided by the values of open science. In addition, ZPID is currently establishing research groups in meta-science and science acceptance. Join the growing ZPID team! Current opening: Postdoctoral