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Field
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, public confidence, and safe deployment on public roads. There is a pressing need for interpretable, verifiable methods that bridge the gap between complex autonomous behaviour and established safety and
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, biological and social factors, as well as early detection and drug safety. With about 200 employees from diverse international backgrounds, BIPS’s research covers the full spectrum from methods development and
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NASA, Airbus, and Rolls-Royce – to develop cutting-edge, data-enhanced numerical methods that will transform how future aircraft are conceived and certified. You will work within the PinhoLab (led by
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Development of a numerical tool for assessing radon prevention and mitigation methods in energy-efficient new buildings and existing buildings A PhD position is available in the Department of Physics
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 12 days ago
learning, data science and research data management, and causal inference methods (Iris Pigeot, Marvin Wright, Vanessa Didelez), and etiologic and molecular epidemiology (Konrad Stopsack, Krasimira
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foreign higher education institutions and point e) of paragraph 2 of article 4 of Decree-Law no. 60/2018 of 3 of August, and any formalities established therein must be fulfilled by the date of the act of
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substantial background in fluid mechanics. Essential skills: Strong knowledge of numerical methods Ability to work effectively in a team Desirable skills / experience: Experience of applying CFD to a complex
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a balanced mix of AI with formal methods and testing techniques, we strive to make vulnerability detection more accurate, intelligent, explainable, and usable in practice. The project is cutting-edge
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: Legal Deposit Libraries, Rejected Texts, and New Methods for Negative Bibliography’ (PromPrint). Hosted by the Sussex Digital Humanities Lab (SHL Digital) and led by Principal Investigator Dr Hannah
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SDU as well as abroad. In particular, the project involves a formal collaboration with the Institute for Computational Genomics at RWTH Aachen University, Germany. Research visits to our research