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algorithms and data, and their academic critical questioning, to the imminent and complex societal challenges our world is facing today. Where to apply Website https://www.academictransfer.com/en/jobs/350145
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, and Humanities. In particular, the department aims to inspire and educate a new generation of design engineers who can contribute with their novel designs, their fluency in AI/ML algorithms and data
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develop an advanced vibrational Non-Destructive Testing (NDT) methodology for quality assurance in metal AM. In this PhD, you will develop advanced AI algorithms along with vibrational Non-Destructive
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the context of algorithmic personalization and GenAI. It brings together expertise on media and journalism studies, digital literacy and inclusion, argumentation theory and AI, combining argumentation theory
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-heuristic search algorithms such as Quantum Annealing (QA). Your contributions will be pivotal in advancing the field of DSE in the computer system domain. This PhD position offers the chance to not only push
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related subject (or be close to completing the degree); demonstrated interest in AI reasoning systems, algorithms, IoT, context-aware pervasive computing, machine learning and data analysis, software
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) the functions of social capital (i.e., bonding and bridging), 2) algorithmic optimization, 3) propaganda potential. What are you going to do Specifically, under supervision of dr. Tom Dobber, dr. Linda Bos, and
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denotational correctness proofs as well as new probabilistic and differential inference algorithms) and systems (e.g., high performance, functional array programming DSLs) to tackle challenging probabilistic and
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Differential Algorithms. This is a unique opportunity to contribute to the foundations for tomorrow’s machine learning. Your job The FoRECAST project aims to develop theory (e.g., categorical semantics and
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denotational correctness proofs as well as new probabilistic and differential inference algorithms) and systems (e.g., high performance, functional array programming DSLs) to tackle challenging probabilistic and