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Field
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a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces
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of disciplines. We are currently one of the top UK HCI groups; publishing a number of papers at top venues (e.g. ACM CHI). Dr Neate currently leads a team of two researchers and six PhD students, with a strong
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techniques: identifying the factors that establish early RT at target genes, determining how they promote translocation biogenesis, and testing them in preclinical models. The work combines CRISPR engineering
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your relevant, demonstrable expertise aligns with the project’s goals; (2) how you would approach the described task(s); the names and contact details of at least two references; a copy of your PhD
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into practical design principles for low-debris surfaces and operating windows in advanced EUV source environments. Qualifications You have (or will soon obtain) a PhD in (Applied) Physics, Mechanical Engineering
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: Steinberg Centre for Simulation and Interactive Learning (SCSIL) The Surgical Performance Enhancement and Robotics (SuPER) Centre in collaboration with Steinberg Centre for Simulation and Interactive
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parameterizations. Job Requirements REQUIRED: PhD in geosciences, statistics, physics, engineering, or a related field at the time of the appointment; PREFERRED: Strong background in fluid dynamics, turbulence, and
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project of the VUB, introduces a new research framework that treats archaeological prospection as a sequential decision-making process explored through computational simulation and deep multi-objective
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic
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. Required Qualifications: PhD or equivalent doctoral degree in chemistry, biochemistry, biophysics, structural biology, chemical engineering, materials science, or a related field by the start of