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The Copenhagen Center for Social Data Science (SODAS), Faculty of Social Sciences, University of Copenhagen (UCPH), invites candidates for a postdoctoral position in modeling and simulation
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if candidates do not reach a minimum score of 80 points in the selection criteria detailed. The minimum score required to be placed on the waiting list will be 80 points. Where to apply Website https
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 18 days ago
guide fields; systematic inclusion of QED; prediction of observational signatures Task 2 - Multi-scale integration: extraction of conditions from global simulations → local simulations → feedback Task 3
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simulation-based education (SBE) for their designated University of Nebraska Medical Center (UNMC) College of Nursing Division. This individual is responsible for educational technology, equipment, resources
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distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime for three years. The deadline for applications is March 26, 2026 and the
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quantum simulator. The goal is to construct a new experimental tool based on a graphene superlattice to not only measuring macroscopic observables, such as electrical resistivity and magnetization, but also
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. They will also be responsible for developing and integrating electronic circuits, camera modules, various sensors, and embedded control systems. Responsibilities include relevant modeling, simulation, and
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Develop and validate material models and performance predictions using simulation tools Integrate materials into injection moulding and extrusion processes through prototyping Collaborate with
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, Chemistry, Materials Science, or a closely related field. Proficiency in ab initio calculations is required. Prior experience with molecular dynamics simulations is considered an advantage. Candidates will be
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models