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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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the CAPeX Pioneer center (https://capex.dtu.dk/ ). The project involves design, synthesis, characterization, and testing of molecular transition metal coordination compounds, as electrocatalysts for oxidation
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program Counselling services as required Health measures for prevention and health promotion Employee events (events for networking and celebrating as well as specialist presentations) Accessibility and
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genome-wide CRISPR functional screening in both mouse models and clinical samples. Working closely with computational biologists and clinicians, this interdisciplinary project offers an exceptional
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, computer science, statistics, epidemiology, psychology, public health, psychiatry or a connected field Excellent research track record, including at least two first-authored peer-reviewed publications relevant
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communication skills orally and in writing are mandatory. Who we are All post doc fellows will be part of Center for Ice-Free Arctic Research (CIFAR). You can find more about the center here: https://bio.au.dk
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topics include, for example: Quantum information in quantum gravity Relativistic Quantum Information Computational complexity in adiabatic quantum computation AI to boost quantum technologies (e.g
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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engineering, computer engineering and applied physics, with a solid academic background in biomedical imaging and AI and an excellent research track record. Candidates should demonstrate a strong academic track