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to participate in academic self-administration We offer: Challenging and varied tasks with a high degree of personal responsibility Work in research and teaching at a dynamic university located in one of Germany's
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
, or intrinsically disordered proteins. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Job Code: MPIDS-W085 Job Offer from June 16, 2025 We seek to fill a postdoctoral position in the research group on Small-scale Dynamics in Turbulence led by Dr. Florencia Falkinhoff, in
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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variants on human traits and single-cell readouts. Our research group is pioneering computational methods for deciphering molecular variation across individuals, space, and time. We have a track record in
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interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Control Theory Formal Methods Machine Learning Context The applicant will be directly advised by Prof
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dynamic, interdisciplinary, and international research community at the TUM Garching campus. TUM’s Department of Mathematics is part of the TUM School of Computation, Information and Technology (CIT
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The Friedrich Schiller University Jena is a dynamic and innovation-driven university centrally located in Germany. With a broad range of disciplines, it shapes the future through excellent research
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, multi-modal, and longitudinal data with detailed information about mothers, their pregnancy, and the long-term development of their children. You will be part of a dynamic and highly motivated research