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Field
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
, physical engineering, technical computer science, electrical engineering or similar Salary group E13 TVöD Temporary contract until 31.12.2027 Full-time / suitable as part-time employment The Bundesanstalt
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
physics, applied mathematics, or a related field, as well as an interest in biological and soft matter physics. Expertise in studying pattern formation, elasticity theory, statistical physics, or biological
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 1 day ago
Job Code: 04/2026 Job Offer from February 02, 2026 Astrochemistry Postdoctoral positions on Computational Chemistry (m/f/d) Job ID: 04/2026 The Max Planck Institute for Extraterrestrial Physics (MPE
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technology. The team consists of four PIs at Universita degli Studi di Firenze, Northwestern University, Universita degli Studi di Parma and Freie Universität Berlin together with partners at Weizmann
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Physics / Theoretical High Energy Physics , Theoretical particle physics Particle Theory Appl Deadline: 2026/01/15 11:59PM (posted 2025/12/16, listed until 2026/06/16) Position Description: Apply
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 3 days ago
Qualifications A PhD in astrophysics, physics, applied mathematics, or a closely related field Extensive experience with Information Field Theory (IFT) Strong practical expertise with Numerical Information Field
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involved in the Schmidt Sciences project MountAInWater, coordinated by the Institute for Science and Technology Austria (ISTA). The position is funded for 2 years (Postdoc, 100%, 40h per week) or 3 years
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 11 days ago
"Cloud physics" (f/d/m/x) Background With the project Deepcloud, we will use the machine-learning revolution to better understand clouds and their role in the climate system. We aim to train a deep
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combination with methods of nonlinear spectroscopy. The spectral range includes in particular XUV radiation and soft x-rays, where experiments at in-house sources are complemented with the use of accelerator
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-funded project HYDROSPHEAR. The project will explore how H2O may be stored in hydrous minerals of the Earth's lower mantle by constraining their stability limits and physical properties by means