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of computational systems biology and mathematics/statistics with a strong attitude to open research software development. For more information visit http://www.fz-juelich.de/ibg/ibg-1/modsim or http://github.com
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chromatographic techniques. Integration and synthesis of previous data with newly collected data on fatty acids, cyanotoxins, and stable isotopes. Application of Bayesian mixing models to investigate consumer diets
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recognized research centers and institutes. The incumbent will join a collaborative department with internationally recognized expertise in biostatistics, statistical omics, bioinformatics, Bayesian
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. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
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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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approaches to data analysis. We welcome applicants working across a variety of approaches, particularly computational and Bayesian, and with a range of data, including text, survey, and panel data. In
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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