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conferences Knowledge and relevant project experience with the modelling of urban water systems Experience with Python for advanced programming, both design and planning, as well as programming. Additional
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complex geometries represents a hazard. It is also relevant to compare the SoK for similar systems using different fuels, and to explore the predictive capabilities of consequence models through blind
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capabilities of consequence models through blind-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling
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sediment volumes, deposition rates and transport pathways through time, combined with onshore exhumation data and topo/landscape models Evaluation of thermocronometric data and provenance data to establish a
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areas within Energy, Climate and Environment and Regional Growth, and integrates the researchers from the Electrical Power Systems (EPS) research group (RG) and Applied Modeling and Control (AMOC) RG
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part of a dynamic research environment focusing on the early mechanisms of neurodegeneration in Parkinson’s disease. The main tasks involve working with mouse models of Parkinson’s disease. Key
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deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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numerical modelling. The PhD candidate’s tasks will primarily be experimental, to conduct hydrate sealing experiments on pore scale and core scale using MRI, but also to provide input for modelling and
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candidate will work in an interdisciplinary research group with both experimental activities and numerical modelling. The PhD candidate’s tasks will primarily be experimental, to conduct hydrate sealing
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broad range of methods in molecular biology, cell biology, and biochemistry that may include mammalian tissue culture, immunoprecipitation and confocal microscopy. Experience with cancer organoid models