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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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stochastic processes, Markov models, dynamical systems, quantum walks, or related mathematical approaches. Experience with computational model fitting, Bayesian inference, simulation, or formal model
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and Evaluation Methodology program (REM; https://education.ufl.edu/research-evaluation-methods ), a productive and collegial community of scholars committed to high-quality teaching, research, and
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reinforcement learning (RL), active learning, Bayesian decision theory, and stochastic optimisation for partially observed and evolving systems. Key research directions include: adaptive data acquisition
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materials to improve catalytic performance in water oxidation reactions). To achieve this goal, we will leverage BCAM’s enhanced Bayesian sampling techniques, generalized hybrid Monte Carlo (MC) schemes, and
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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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and Evaluation Methodology program (REM; https://education.ufl.edu/research-evaluation-methods ), a productive and collegial community of scholars committed to high-quality teaching, research, and
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demonstrate particularly outstanding achievements in the interim evaluation may receive tenure at that stage. https://sx.nagaokaut.ac.jp/research-units/ [Work content and job description] [Research Fields
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” experimentalists in the research group and with interdisciplinary collaborating scientists. Elements of the experimental approach will include: Bayesian reconstruction of events on billion-year timescales
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” experimentalists in the research group and with interdisciplinary collaborating scientists. Elements of the experimental approach will include: Bayesian reconstruction of events on billion-year timescales