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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 15 days ago
Planck Institute for Dynamics and Self-Organization (MPI-DS) at Göttingen, Germany, is an international, interdisciplinary and collaborative environment offering an exceptional research setting. It hosts a
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team? Then come join the Dynamic Spectroscopy group at TUM! About us Our group ‘Dynamic Spectroscopy’ at the Department of Chemistry, School of Natural Sciences, TU Munich, specializes in time-resolved
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? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in
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and as part of a team Understanding of dynamical systems, time series models, machine learning, Bayesian statistics, experience in handling environmental and climate data is a merit We offer: This
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Description The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in Hamburg, Germany, offers a structured PhD program focusing on ultra-fast phenomena, X-ray
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18 Oct 2025 Job Information Organisation/Company Karlsruher Institut für Technologie (KIT) Research Field All Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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of materials science who is passionate about both physical chemistry and nanoscale characterization of materials. YOUR TASKS: The PhD position is part of the E-MOSAIC project, which is focused on the development
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Microbiome Systems Biology The positios are initially limited to four years. The Microbiome Dynamics (MBD I https://www.leibniz-hki.de/de/microbiome-dynamics.html#) department contributes to the development
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, pharmacology, physiology, and the history of science. The project aims both to develop a new understanding of the dynamics between individuality and teamwork in scientific progress and to derive practical
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Your Job: Modeling and characterization at molecular level of selected biological processes by performing classical molecular dynamics, and employing enhanced sampling methods and machine learning