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-signalling and screening purposes so that individuals at risk for gambling problems can be identified early and further harmful development can be stopped. As a PhD candidate, you will work in a highly
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evaluate the applicability of real-world data (RWD) for examining relevant outcomes and explores RWD's potential in signal detection and validation. Additionally, you analyse pre-withdrawal utilisation
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of mixed oyssel beds (structure dominated by both blue mussels and Japanese oysters). Scattered evidence show that the three different types of reefs may have significantly different ecological functions
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mussels), oyster beds (structure dominated by Pacific oysters), and the novel ecological entity consisting of mixed oyssel beds (structure dominated by both blue mussels and Japanese oysters). Scattered
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on mixed feeds of CO2, CO, H2, and H2O under industrially relevant conditions. Process boundary conditions for efficient mixed feed FTS to produce synthetic fuels will also be identified. This position is
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, e.g. have group meetings, together with the PhD students who are already working on these topics and are co-supervised by Goeman and De Heide. If you apply to this vacancy, you can indicate you
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control, mathematics, physics, machine learning, data-driven modelling, signal processing; Preferably you finished a master’s in Systems and Control, Mechanical or Electrical Engineering, (Applied) Physics