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to the development of state-of-the-art nuclear-reaction models and evaluated nuclear-data libraries, supporting safe, reliable, and competitive technologies for both existing and future nuclear-energy systems, as
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role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis
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., analysis, statistics and modelling), proficiency in the R programming language (of particular value if coupled with TMB), familiarity with version control pipelines, preferably experience in fisheries stock
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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modeling of protein dynamics We are seeking a highly motivated PhD student to join a DDLS-funded project at the interface of structural proteomics, protein biophysics, and machine learning. The position is
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, mathematical modeling and statistics, or equivalent. We are looking for candidates with: A solid academic background with thorough computational and analytical understanding; Proficiency in programming in Python
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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: Participating in the planning and execution of preclinical studies of targeted radiopharmaceuticals. Working with experimental tumor models, including cell culture, establishment of tumor models, and monitoring
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(USBE) is recruiting one to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We