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, modeling of topological superconductors, protocols for observation of nonlocal quantum information storage, topological effect in open system, or next generation superconducting qubits using hybrid materials
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well as experience working with animal models and/or cellular assays, and you are looking for an opportunity to put your skills into practise, you have it right here. The Research Group for Food Allergy at the DTU
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proteins as food ingredients in food models Conduct project reporting and publishing results in international scientific journals Participating in teaching and supervision of students at all levels As a
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The successful candidates should have the following qualifications: A PhD in Environmental Toxicology, Chemical Engineering, Environmental Chemistry, Materials Science, or closely related fields. Solid
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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university courses and supervise students As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its
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Job Description RISC-V open source and open standards as the nucleus for new platform models help to improve overall flexibility and productivity for a wide market access. Given the challenge
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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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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
five bioclimatic zones. Your task will be to combine multi-source data — including field observations, environmental measurements, and satellite imagery — with mechanistic models to assess carbon
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partial reprogramming techniques to reverse age-related decline in health, focusing on improving healthspan and organ function in aging models. Key recent publications from Dr. Sahu’s previous work include