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emergency managers, robotics developers, and public authorities. Is tested and refined in close collaboration with stakeholders through simulation exercises, workshops, and field studies. The project builds a
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market frameworks and business models for fair value distribution will be analysed. Responsibilities and qualifications Your primary research tasks will include: Develop and simulate coordinated control
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background in preferably more than one of the following areas: Thermodynamic analysis and simulation of energy technologies/processes/systems Programming tools such as Python, Matlab, Modelica, Pytorch, etc
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Job Description AI has begun to transform molecular discovery and design for proteins, DNA, RNA, small molecules and more. Yet many outstanding challenges in health and sustainability remain data
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to apply machine learning techniques to a combination of experimental data and simulation results, aiming for faster and more accurate predictions. About us You will join an international and highly
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of electron microscopy imaging and spectroscopy to reveal the structure–property relationships that govern molecular adsorption mechanisms. This interdisciplinary project is fully funded by DTU’s PhD grant
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caused by the exposure to diverse simulated weather scenarios and urban traffic loadings. Responsibilities Your responsibility is twofold. First, it is driving and performing the research efforts as
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equivalent) in Allergology, Immunology, Bioinformatics, Biochemistry, Biomedical, Protein Chemistry, Molecular Biology or a related field as well as: Solid understanding of immunology and/or food allergy, and
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molecular interactions between ICB and γδ T cells. Position 2 will focus on the potential role of γδ T cells in immune related adverse effects (irAEs). Both positions will be in close collaboration with
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for CI, HTI, and urban environments. The network emphasizes innovation through the development of a Virtual Learning Environment (VLE) for construction safety or disaster response simulation, integration