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systems (CDSSs), so that their use in the clinic can be subject to rigorous quality control and certification. In this position, you will work on exploring synergies between Bayesian networks and AutoML
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and/or Python. Experience in, and aptitude for, complex statistical modelling (inc. mixed effects regression models and/or Bayesian statistics). Excellent written and spoken English. Desirable (traits
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the overall structure of the cosmic web are the various versions of the scale-space MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical
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to staff position within a Research Infrastructure? No Offer Description Do you want to contribute to extending, applying, and disseminating flexible methodologies from the Bayesian machine learning
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talented PhD candidate to work on a new research line into moral decision-making. The project aims to develop a Bayesian computational model of moral decision-making to test various hypotheses about the
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MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical inventory, a major incentive for the project is the application and
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interdependencies between inspection items using probabilistic graphical models like Bayesian networks. These models aim to support interactive inspections by prioritizing items dynamically, combining data-driven
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mixed-effect models, overparameterized regression, Bayesian models and regularization. On the biological side, some knowledge of crop physiology, plant breeding and quantitative genetics will be useful
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or a Bayesian setting. The actual detection probability might be hard to optimize, but several distances between the probability densities of the two hypotheses (target present or not) can be
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sensitivity analysis and 4) Bayesian parameter estimation Analysis and integration of various in vitro/in vivo data for model calibration and validation Project embedding: The project will be coordinated by