Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Leibniz
- DAAD
- Forschungszentrum Jülich
- University of Tübingen
- Free University of Berlin
- Humboldt-Stiftung Foundation
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- 5 more »
- « less
-
Field
-
on collective dynamical phenomena of complex systems and networks with a focus on strongly externally driven systems; application to fields in physics, engineering and biology, developing a computational toolbox
-
of 5h / week during the teaching term (flexible topics) Requirements: • Master’s / PhD degree in climate, environmental, or Earth sciences • Experience in the management of scientific projects
-
prior to interim evaluation, and six hours thereafter. Required qualifications include an outstanding doctorate in a pertinent field (psychology, computer science, data science, education sciences
-
- and extramural research institutions are expected. Teaching activities in English will include the master’s programs “Immunosciences and Infection“ “Immuno-biology” and “Molecular Cell Biology“. A PhD
-
, ranging from life sciences to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who
-
Computer Science or related fields • Strong background in machine learning • Strong programming skills in Python and experience with deep learning frameworks (PyTorch or similar) • Proficient in spoken and written
-
, public relations, and outreach activities. Your profile You hold a Master’s or PhD degree in the natural sciences, engineering, physics, medical technology, biomedical computing – or a related field. You
-
qualification). Requirements: - Completed university degree (Master) and completed Doctorate (PhD) in Cognitive Science, Neuroscience, Psychology, or a related field Desirable: - Excellent results in university
-
with PhD in physics, chemistry, materials science, chemical engineering, computer science or a related discipline Extensive knowledge of X-ray science Profound experience in data analysis, machine
-
or PhD in data science or bioinformatics with strong experience in software development for front-end and back-end solutions and research data management Knowledge in programming languages (Python, HTML