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in interdisciplinary or cross-location alliances is expected. The position comes with responsibilities in teaching, specifically pertaining to the university’s master's program in mathematical physics
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very latest issues that impact our society
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the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
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computational models with the "exact" but lower resolution information available from experiments. Job description: Application of specially developed approaches to define for transferable force-fields with
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer
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Preparation and documentation of results What you bring to the table You are studying mechanical engineering, industrial engineering, computer science or a comparable subject You have good knowledge of Python
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, computer engineering, or a comparable field (bachelor's/master's degree) Interest in modern manufacturing technologies and welding processes Experience with Python/data analysis Structured, independent
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cutting-edge structural, computational and systems biology approaches, including combining high throughput perturbations (genetics and chemical) to multi-modal readouts (cellular and omics), to gain
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. computational simulation of material processing and structure-properties relationships to accelerate the development of new materials presentation of scientific results at international conferences and in
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applications as Research Assistant Position (f/m/d) (Ref. 25/10) in the Research Group “Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is