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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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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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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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biological networks. The project also involves engaging with national and international stakeholders. In silico models aim to capture and elucidate the complex and emergent interactions of biological systems