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master’s degree or diploma in physics, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent
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semiconductor properties to the composition of lead-free double perovskites Your Profile: Master’s degree in theoretical or computational physics, chemistry, materials science, or a similar field Familiarity with
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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, K. M. (2025). Quantum-Centric Alchemical Free Energy Calculations. 1–35. http://arxiv.org/abs/2506.20825 [3] mimic-project.com Your Profile: University degree (master’s) in physics, chemistry
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systems using various tools and models, including: i) characterization of the emerging patterns in physical systems (solid state materials and active systems); ii) investigation of the mechanical properties
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of the areas number theory, geometry, non-commutative geometry, topology, analysis of partial differential equations, mathematical physics Language proficiency in English or German These posts are designed
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computational physics and probability theory and great interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or equivalent degree in
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protection: Please note the data protection information for applicants (m/f/d) according to Article 13 and 14 GDPR on data protection processing during the application process: https://www.ipb-halle.de/en
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)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. You hold (or expect to complete soon) a Masters or
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budget. Tasks include application of process-based models (e.g., CANDY, DayCent, LDNDC, Daisy) to model within-field N-fluxes (e.g., N2O-losses, NO3-leaching, N-mineralization) support model