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Field
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
qualification A PhD in physics or astrophysics (PhD must be awarded by the start date) Experience with statistical inference and/or modelling of stellar magnetic fields The ability to work in a team A good
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to analyze complex image and real-world datasets and identify clinically and psychologically relevant patterns Lead independent scientific research projects covering study design, data processing, statistical
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 6 days ago
collection Presenting and publishing ESS-relevant research in scientific conferences and journals Your profile: Above-average completed PhD (as well as a Master) in the Social Sciences (for example Sociology
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 14 days ago
Behavioral Ecology Research Group ” is an international research group led by Prof. Dr. Barbara Fruth. At the moment, our group consists of two senior researchers, one postdoc, three PhD students, several
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Job Code: MPIDS-W092 Job Offer from July 28, 2026 In the Department of Living Matter Physics (LMP) we seek to fill several Postdoctoral Researcher positions - Statistical Physics and Active Matter
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 25 days ago
of individual interest, and service to the group and community (for example, (co-)supervision of PhD students, peer review, support in organizing workshops, and occasional teaching). The group collaborates
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 14 hours ago
between group-related projects, projects of individual interest, and service to the group and community (for example (co-)supervision of PhD students, peer review, support in organizing workshops, and
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial
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, publish and present findings in peer-reviewed journals and workshops About You: Essential Qualifications: A Master`s degree (or equivalent) and a PhD in Civil or Environmental Engineering, Hydrology
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry