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Field
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needs to be supplied with rigorous uncertainty analysis. The focus of this project is on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work
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, providing them with essential improvements to aspects such as performance and fault-tolerance. Due to the critical nature of many distributed systems, their correctness is of crucial importance
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join us as a PhD candidate. You will work in a highly interdisciplinary group, at the intersection of physics, machine learning and theoretical neuroscience. Our group is focused on investigating
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such as performance and fault-tolerance. Due to the critical nature of many distributed systems, their correctness is of crucial importance. The verification of distributed systems, however, is notoriously
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operational efficiency, and cost reductions. Our goal is to extend this connection, with a focus on problems related to collective decision-making, voting, and (fair) resource allocation. Through this work, you
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of seed dispersal and tree establishment for forest regrowth. Impact. This study connects the fields of plant, animal, and landscape ecology. It advances successional theory by providing a pantropical
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)/supervisors (prof.dr. Jurian Edelenbos, Dr. Ingmar van Meerkerk & Dr. Wouter Spekkink). This entails the set-up of the research, the selection of methods and theories, data collection and analysis. Given
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molten salt to study key phenomena under controlled conditions Your role: As a PhD candidate, you will work at the intersection of theory and practice, contributing to both computational and experimental
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using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out the methods and
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities We