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Field
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to algorithms with actionable performance guarantees. More specifically, the research will revolve around one of the following streams: Convergence with high probability in stochastic optimization: Going beyond
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Algorithmic systems
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fonction de la taille de la sortie [JYP88]. On peut en dégager une notion de temps d'exécution « par solution », et on recherche alors - le graal - des algorithmes à délai polynomial. Ces algorithmes
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Predictive and optimization-based control of smart grids: theory and algorithms School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline
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in machine learning (ML)? This PhD position offers a unique opportunity to contribute to cutting-edge research in algorithmic fairness, ensuring that automated decision-making systems produce equitable
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with quantum computing. The project combines evolutionary algorithms (EAs) with quantum computing, focusing on its application in complex multi-objective optimization problems. The PhD candidate will be
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students who would like to write their final thesis in the field of machine learning / computer vision. The primary goal of this master’s thesis is to develop an algorithm that can accurately and efficiently
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of biased decision-making in machine learning (ML)? This PhD position offers a unique opportunity to contribute to cutting-edge research in algorithmic fairness, ensuring that automated decision-making
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, under supervision of Rebecca Reiffenhäuser. The position has a duration of four years. Its focus is on algorithmic research, encompassing topics like online algorithms, algorithmic game theory, fair
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equivalent). 3+ years of professional experience in software development or research, with a focus on data structures and algorithms. Teaching experience at the college or university level in data structures