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and genetic investigations, no underlying hemostatic defect can currently be identified in approximately 50% of these patients. This may be further improved by evaluating clot degradation (fibrinolysis
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, they have the potential to solve certain computational problems far more efficiently than classical machines. Realizing this potential requires entirely new numerical algorithms that combine advances in
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. These differences are partly driven by genetic variation, which influences cellular pathways involved in toxicity. Understanding this variation is essential for developing future safety testing strategies
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Are you passionate about uncovering and addressing vulnerabilities in AI systems, from algorithms to hardware? Join Us! We are looking for a highly motivated candidate with a computer security and
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products, tailored, complex materials such as advanced polymers or polymeric formulations, catalysts, mechatronic devices and software and algorithms. Design, control and modelling and analyses complement
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theory and algorithms for problems with multiple interacting actors? Are you interested in working at the intersection of game theory and mixed-integer optimisation? Job description Transport and logistics
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Would you like to develop new theory and algorithms for problems with multiple interacting actors? Are you interested in working at the intersection of game theory and mixed-integer optimisation
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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ones for different stakeholder groups, as a basis for policy making? Are you interested in spatial optimization algorithms and uncertainty assessment? Then this PhD position at the Department of Human
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Statistics Netherlands. Such data presents distinctive methodological challenges: their scale and temporal character require fast algorithms and careful tailoring of commonly used network measures and