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approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our current emphasis, without excluding candidates with prior experience on Aerial or Ground Systems. We
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, etc.). Robust AI (knowledge of methods for quantifying uncertainty in deep learning or formal verification methods applied to deep learning) Embedded AI Reinforcement learning, supervised and
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of the Danish language will facilitate the interaction with the stakeholders. As a formal qualification, you must hold a PhD degree (or equivalent) preferably in Environmental Engineering. We offer DTU is a
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. • The successful candidate will work efficiently to master the scientific field, contribute positively to the scientific culture of the laboratory, and present their own data and analysis in formal and informal
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approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our current emphasis, without excluding candidates with prior experience on Aerial or Ground Systems. We
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EXPERIENCE in: Scientific/Academic writing Research methodology (Quant or Mixed Methods) Experience with statistical software (e.g., R, Mplus, SPSS, etc.) Credentials must be obtained prior to the start date
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Responsibilities will include developing next-generation genome engineering technologies for gene and cell therapy applications as well as functional genomics. In particular, you will focus on delivery methods
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10.08.2021, Academic staff Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification - PhD student in