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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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the SOFA framework to model the larva’s body dynamics. Create a mesh model of the larva with the main organs required for simulation and develop plugins to control muscle and body properties. Modelling
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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 project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods to compare deep neural network and other artificial representations
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interdisciplinary research & research methods Strong analytical skills and a collaborative mindset Experience with (Bayesian) statistics, deep neural network models, Kernel Methods, or data science Experience with
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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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of Photonic Technologies (AIPT) for two prestigious three-year postgraduate positions (leading to a PhD) as Doctoral Candidates (DC) within the European Doctoral Network project Post-Digital Computing
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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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net zero goals and the future of our planet. During their lifetime, those energy storage systems can experience complex electrochemical-thermomechanical phenomena that can result in their volumetric
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the transmission of emerging respiratory infections in highly heterogeneous populations. As part of this, the impact of the heterogeneity in the structure of the individuals contact network on disease transmission