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learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance
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Max Planck Institute for the Study of Crime, Security and Law | Freiburg Elbe, Niedersachsen | Germany | about 15 hours ago
. Together, we aim to push the boundaries of current crime research and build new approaches to crime prediction. Where to apply Website https://recruitingapp-5535.de.umantis.com/Vacancies/508/Description/2
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27 Jan 2026 Job Information Organisation/Company University of Siegen Department Embedded Systems Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
profile # Ph.D. in the field of Physics, Chemistry, Computer Sciences or Applied Mathematics or related field # Background in mathematical surrogate modeling and machine learning # Experience or familiarity
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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de
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working in natural, life and computer sciences as well as medicine Presenting the research outcome in lab meetings, meetings with collaboration partner, national and international conferences Assisting in
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on the structure and dynamics of ring polymers in different topological environments, providing experimental evidence for phenomena predicted by theory and computer simulations. Small-angle neutron scattering (SANS
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
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for doctoral programmes: any time Application deadline The annual call usually opens in September. https://www.dashh.org/application/index_eng.html Interim applications are possible under certain conditions
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning