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Field
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limitations. The field of interpretable machine learning aims to fill this gap by developing interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data
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, the Evaluations and Language resources Distribution Agency. Your teaching load may be up to 10% of your working time. Where to apply Website https://www.academictransfer.com/en/jobs/354767/phd-position-speech
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interested in exploring how firms can collectively contribute to decentralized, sustainable energy systems? Are you curious about how digital platforms connect businesses with distributed energy resources
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Description We are looking for a PhD-candidate interested in topics that lie on the border of optimization by the use of heuristic algorithms and (Explainable) Artificial Intelligence ((X)AI). Specifically, in
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inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable
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ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g., high performance
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of Civil Engineering & Geosciences. Our diverse team of PhDs, postdocs, project managers and professors all share the ambition to develop smart, sustainable, and equitable mobility systems. Our unique 12
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Are you interested in exploring how firms can collectively contribute to decentralized, sustainable energy systems? Are you curious about how digital platforms connect businesses with distributed
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models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth
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and work experience; a short letter of motivation; a link to your PhD thesis; the name and email address of a reference who can provide a letter of recommendation, e.g. the PhD or postdoc supervisor