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actively on the preparation and defence of a PhD thesis in the field of explainable reinforcement learning (XRL). Explainable reinforcement learning aims to make decisions, policies, and learning processes
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actively on the preparation and defence of a PhD thesis in the field of continual reinforcement learning. Continual reinforcement learning studies how agents can learn across a sequence of changing tasks
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well as resource limitations. The core research objective of this PhD is to design and evaluate “latency hiding” methods for immersive networked interactions. This involves (i) developing predictive machine learning
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computer-based formalization of foundational results of model theory, in particular, the theory of o-minimal structures and tame geometry. You are in charge of the scientific coordination of third-party
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study of the Milky Way that is revealing our Galaxy's content, dynamics, current state and formation history. The IoA is responsible for the development and operation of the (spectro)-photometric
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professional development. Based at Swipe and Tap Limited, Leicester https://swipeandtap.co.uk/ with occasional visits to DMU the associate will develop a bespoke secure-by-design software solution that enables
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years of experience post receiving their PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language processing
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, Skills, and Abilities Doctoral degree (PhD, DrPH, or equivalent) in Epidemiology, Biostatistics, Public Health, or a related quantitative field. Candidates must have excellent written and verbal
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of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware coordination of electric vehicle fleets
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Aschenbrenner, PhD, is part of the Faculty of Mathematics at the University of Vienna. We are looking for a Senior Scientist to conduct research in model theory; to initiate an effort in computer-based