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/nanofabrication, power electronics, electronic packaging and integration.• Experience with numerical simulation and analytical computation tools: Ansys HFSS, Matlab etc.• Strong interest in multidisciplinary
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at DTU Compute, including teaching and supervision activities We are looking for you who have: Solid knowledge of process mining, continual learning, or cybersecurity Strong analytical and programming
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powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models, such as macrophages and organoids
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law or European Union law (demonstrable knowledge of freedom of information laws, transparency or confidentiality rules are a plus); A creative mind and strong critical and analytical skills
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large cohort. As a PhD student in a new domain of research we expect you to: Conduct cutting-edge research in neuro-behavioral sciences using advanced analytical techniques. Collaborate with clinical
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will be trained in a variety of powerful, modern analytical techniques including chemical proteomics and metabolomics. They will have access to advanced synthesis facilities, as well as biological models
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of Prof. Dr. Frank Cichos and Dr. Nico Scherf (Max Planck Institute for Human Cognition and Brain Sciences). The position is part of a collaborative project in the Center for Scalable Data Analytics and
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characterisation of the EPS using advanced analytical tools, such as NMR, FT IR and other means. Based on the developed insights it is the ultimate goal to provide a proof of principle for a novel approach to change
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, or material science (e.g., publications, conference presentations, internships, awards, scholarships) - Experience in inorganic chemistry and basic analytical techniques, such as XRD, IR, and Raman spectroscopy
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powerful, modern analytical techniques and have access to advanced synthesis facilities, as well as biological models, such as macrophages and organoids, to enable the rapid translation of this research