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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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Karlsruhe Institute of Technology, Physics Position ID: Karlsruhe Institute of Technology-Physics-POSTDOC [#30953] Position Title: Position Type: Postdoctoral Position Location: Karlsruhe, Baden
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Your Profile: Basic qualifications: Completed Master’s degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience with neutron spectroscopy (e.g. INS, QENS, NSE
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property prediction, modern artificial intelligence methods, molecular dynamics, and interdisciplinary research, this is your chance to be part of an exciting journey at the forefront of science and
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to the Leibniz Association. ZPID aims to support researchers and psychology professionals guided by the values of open science. As part of an effort to strengthen the user orientation of our Open Science
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 4 days ago
. The position We welcome applications from researchers with a PhD in demography, statistics, sociology, economics, epidemiology, public health, or allied fields. Depending on background and interests
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 14 hours ago
Demography . We welcome applications from researchers with a PhD in demography, statistics, sociology, economics, epidemiology, public health, or allied fields. Depending on background and interests
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20 Jan 2026 Job Information Organisation/Company Deutsches Krebsforschungszentrum Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning