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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 days ago
Job Code: MPIDS-W088 Job Offer from August 20, 2025 The Max Planck Institute for Dynamics and Self-Organization (MPI-DS) at Göttingen, Germany, is an international, interdisciplinary and
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 5 hours ago
. With more than 40 research groups and some 1,000 employees from over 50 nations, it is the largest institute of the Max Planck Society . The Research Group Computational Biomolecular Dynamics (Prof. Dr
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22 Aug 2025 Job Information Organisation/Company GFZ Helmholtz-Zentrum für Geoforschung Research Field Geosciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group Microbiome Dynamics (https://www.leibniz-hki.de
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-evolutionary dynamics of vegetation to geodynamics and even fewer investigate biogeodynamic interactions of tropical coastal wetland systems to evaluate the potential impacts of human-induced changes. We propose
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Your Job: Development and optimization of high-temperature heat pipes for fusion applications Numerical simulations of heat transfer and fluid dynamics in heat pipes using COMSOL, ANSYS, or similar
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
there are several opportunities to also pursue technique development research, e.g. enabling the study of dynamical systems with SFG microscopy, as well as the development of multi-modal imaging approaches
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Your Job: QENS and INS experiments to investigate the diffusion dynamics of water and ligand molecules on metal oxide nanoparticle surfaces, accompanied by complementary experimental techniques
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and is initially limited to 2 years. The successful candidate will work in a dynamic international team situated in a world-renowned institute with cutting-edge infrastructure for cryo-EM and cryo-ET
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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