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Field
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Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative
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subprojects (SP): 1) SP1 includes desk research and case file analysis about how decisions are based on what kind of legitimations 2) SP2 unfolds how decisions are justified in-the-making via shadowing and
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research and case file analysis about how decisions are based on what kind of legitimations 2) SP2 unfolds how decisions are justified in-the-making via shadowing and narrative interviews 3) SP3 focusses
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for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science
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relationships. You are motivated to acquire new skills and work in a multidisciplinary team. You have practical experience with experimental work and data analysis. You act with attention to quality, integrity
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Centrum Wiskunde & Informatica (CWI) has a vacancy for a 4-year PhD position (m/f/x) on the subject of Reliable AI-powered Data Analysis in collaboration with the University of Amsterdam. Interested
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collaborating research group at the University of Hamburg interest beyond the pure scientific analysis of data and processes is expected as the focus of GERICS is on the provision of decision-making knowledge
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contact Dr Renatas Kizys (R.Kizys@soton.ac.uk ). Decision Analytics and Risk: seeking outstanding students in our members' areas of expertise, including Business Analytics and Risk Analysis that provides
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networks by analyzing their dynamical systems and probabilistic asymptotic behavior, improving and generalizing diffusion-based generative AI using insights from numerical and stochastic analysis, and making
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: Understanding and Targeting Cell Cycle Control in Cancer BRIEF DESCRIPTION OF THE PROJECT: Cells must duplicate their DNA, grow, and repair DNA damage before committing to mitosis — a critical decision point that