48 modeling-and-simulation Postdoctoral positions at Technical University of Denmark in Denmark
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cross-selectivity. Support the implementation, testing and evaluation of the sensor prototype under simulated and real conditions. Active dissemination of the results in scientific articles and
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biosolutions. The institute’s tasks are carried out in interdisciplinary collaboration within e.g. nutrition, chemistry, toxicology, microbiology, epidemiology, modelling, and technology. This is achieved
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academic career in a group with a strong publication track record Work in a supportive, international environment just outside Copenhagen If you want to apply your skills in animal models and translational
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from water samples compared to tissue samples for early detection of disease. Another is to perform “what if” scenario modelling to compare suitability for different sampling protocols in farms in non
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(RAG) models – are shaping professional expertise and practice across diverse Danish public sector domains, especially among frontline workers, including caseworkers, service providers and welfare
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not required. Experience in programming, simulation and data analysis. Ideally also in experiment automation. Ability to work independently and as part of a team. Excellent communication skills in
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integrated circuits for next-generation UOWC technologies. As a participant of the project, you will become part of a team at DTU with expertise in design, simulation, nanofabrication, characterization, and
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access to excellent facilities and competences for synthesis, characterization and modelling. Responsibilities and qualifications Your tasks will primarily encompass: Nanoparticle synthesis and surface
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part of the Dynamical Systems Section. We perform research within a broad range of areas within dynamical systems including modeling, optimization, forecasting, and controlling in both deterministic and
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engineering. It covers a wide range of manufacturing processes and modelling approaches, metrology at all scales, micro/nanomanufacturing, and additive manufacturing. The research is based on a