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interest in interdisciplinary research on anthropogenic impacts within the Earth system Experience in data processing and basic programming skills Strong written and oral communication skills, demonstrated
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on anthropogenic impacts within the Earth system Experience in data processing and basic programming skills Strong written and oral communication skills, demonstrated through a Master’s thesis and, if applicable
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have already successfully obtained a university degree and a PhD, or are about to complete your PhD, in social sciences, economics or economic geography, and have robust knowledge of quantitative
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Your qualifications and profile Necessary skills and qualifications A PhD in Astronomy or a related field Excellent written and oral communication skills in English Excellent organisational skills
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of industrial processes. In a joint effort of both institutes, the Department AI4Quantum – Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
– Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics
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Description: The RevEl project aims to replace PTFE-based dry binders with fluorine-free nanocomposites that combine mechanical robustness during battery operation with controlled debonding-on-demand at end
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mechanical robustness during battery operation with controlled debonding-on-demand at end-of-life to enable direct recycling. Within this project, the focus of the Department Structure Formation (SF) is on
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 3 months ago
sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 28 Aug 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Offer
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated