Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Leibniz
- Technical University of Munich
- Forschungszentrum Jülich
- University of Tübingen
- Heidelberg University
- Free University of Berlin
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Fraunhofer-Gesellschaft
- Max Planck Institute for Chemical Physics of Solids, Dresden
- WIAS Berlin
- ; Queen Mary University of London
- ; Technical University of Denmark
- DAAD
- European Magnetism Association EMA
- Helmholtz-Zentrum Geesthacht
- Humboldt-Universität zu Berlin
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Biology Tübingen, Tübingen
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Nuclear Physics, Heidelberg
- Max Planck Institute for Physics, Garching
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Biophysics, Frankfurt am Main
- University of Duisburg-Essen
- University of Greifswald
- University of Paderborn
- 25 more »
- « less
-
Field
-
theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous
-
” are ready to be exploited. • You will also be involved in the training of students. Your qualifications and skills: • You have a PhD or equivalent degree in biology, agri-cultural biology or any related field
-
phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
-
#publish findings in international peer-reviewed journals #PhD in Geography, Sustainability Sciences, Ecological or Environmental Economics, System Dynamics, or related fields #proven experience in system
-
of Cardiovascular Research (DZHK) and the collaborative research center CRC1550 "Molecular Circuits of Heart Disease". Your Profile PhD in molecular biology, epigenetics, cardiovascular science, computational biology
-
) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics or chemistry, or
-
reviewed journals; conducting detailed literature reviews; participating in academic conferences; and presenting research findings and project outcomes. Requirements PhD in Political Science, Psychology
-
) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
-
aromatic nanobelts. Your profile: We are looking for experimentally skilled candidates, ideally experienced in multiple-step organic synthesis The candidate needs to have a PhD degree in Chemistry (with a
-
presentations at international conferences Our requirements Completed PhD in Biology, Biotechnology, Bioinformatics, Immunology, or related field Strong interest in computational science and AI (prior formal