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Field
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-oriented features, present a large attack surface that traditional verification techniques—such as formal methods—struggle to cover. To effectively mitigate this growing threat landscape, vulnerability
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join the team in the SPARK-e project. Job Duties The job duties will be the following: Carry out planned and new experiments, analysis of data, and publication of results; Advance experimental methods
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, develop experimental methods, carry out planned and new experiments, analyse data, and publish results; Contribute to the group’s dynamics taking part in common research and methodology development
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, incorporating insights from the philosophy of language, the cognitive language sciences, linguistic pragmatics, and formal logic / epistemology. The main task of the post-doctoral researcher is to contribute to a
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research. Within this project, the postdoctoral researcher will assume a central role in the empirical implementation. The successful candidate will join the research group on non-formal education at
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will join the research group on non-formal education at the Centre for Childhood and Youth Research (CCY) within the Department of Social Sciences. The CCY is a multidisciplinary research centre
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propose to combine machine learning techniques with formal methods. We will focus on safe reinforcement learning of motion planning problems for autonomous vessels. Motion planning is particularly
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reviewed scientific publications. Your profile PhD in Computer Science, with specialization on applied machine learning, statistical methods, and/or software engineering Strong programming skills Strong
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Arctic DTU and Security DTU. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research
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. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study turbulence, aero-thermo-acoustics, and