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provably powerful learning models for graphs will require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating
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require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating the design and analysis of such models. PhD position
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issue. Employ vulnerability theory to help shape our understanding of corporate crime. Develop a legal framework for addressing corporate crime through ICL. Engage in interdisciplinary research
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Job related to staff position within a Research Infrastructure? No Offer Description As a PhD candidate, you will develop new analytical theories and methods for complex systems of partial differential
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interested in exploring the limits of quantum computation using automated reasoning. We are broadly interested in tackling conjectures and open problems in quantum information theory using satisfiability
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, Electrical Engineering, Computer Science, or a related field. Strong foundation in biomedical signal processing and hands-on experience with clinical data. Knowledge of information theory, sampling theorems
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degree in Electrical Engineering or closely related fields. Background in information theory, communications and signal processing. Knowledge of radar signal processing and/or coding theory is a plus
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combinatorial, algebraic, and probabilistic tools, you will work on resolving fundamental extremal problems in the area of finite geometry. These problems have connections to Ramsey theory, coding theory, and
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of GenAI-assisted software engineering. We envision the following tasks for you: Analyzing the interplay between software specifications and generative AI-based code generation. Designing and evaluating
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science, (search) game theory, law, data engineering, Artificial Intelligence (AI), governance, organization sciences and serious gaming to help Dutch governmental organizations, critical maritime