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) • Basic knowledge of finite element simulations (for example star CCM) are an added value, but not necessary, the colleagues of the ProPoLiS research group will help you out with pleasure • You are
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OR computer science OR data science. · You have good software skills and high-level programming languages (python, julia), e.g., finite element software (commercial or open source), Matlab/Simulink. · Critical and
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to discover exactly how the clock transcription factor network controls plant biology in response to changes in the external environment. In the long-term this project’s insights will power our research in
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: • Developing value chain-specific Life Cycle Assessment (LCA) of critical raw materials and CRM-embedded productsThe analysis will focus on the Life Cycle Assessment (LCA) and the EU Environmental Footprint (EF
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concerning the detection of casewise and cellwise outliers using robust statistical methods. This project is within the thematic field “Robustness in complex data analysis and statistical modelling
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in particular on fundamental epistemological and normative implications of the data that the project will gather and its analysis. These implications might necessitate a rethinking of key aspects
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experience with time series data analysis and/or anomaly detection is a plus. I am proficient in Python and am familiar with data science and machine/deep learning toolkits. As a PhD researcher at KU Leuven, I