Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- Technical University of Munich
- University of Tübingen
- Heidelberg University
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Astronomy, Heidelberg
- 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
- 3 more »
- « less
-
Field
-
functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
-
) 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
-
) 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
-
extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation
-
Master’s degree and PhD in Physics or a similar field, ideally with a specialization in quantum many-body physics Coursework and experience in (a subset of) quantum mechanics, condensed matter physics
-
) 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
-
enjoys scientific discussion and interdisciplinary science. To be considered for this position, you must have a PhD in a field like physics and applied mathematics or a field related to one
-
Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
findings at academic venues and publish research in peer-reviewed journals Your profile # Completed university studies (PhD) in the field of Physics, Computer science, Materials science, Chemistry, or a
-
will work with PhD students and a fellow postdoc. You will also become an integral part of the Multiscale Cloud Physics Group currently being established by Dr Franziska Glassmeier at the Max Planck
-
advanced data-driven methods and have the autonomy to set your own scientific emphasis. As team member of the ERC Starting Grant “MesoClou”, you will work with PhD students and a fellow postdoc and be