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uncertainty on the energy yield modeled during the design of the wind farm, increasing the risk for wind farm operators. To reduce this, additional insights are needed. In this PhD, the main focus will
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thesis, (assignment) report or other publication demonstrating your experience in numerical modelling of (complex) fluid flow problems. Specific experience in the modelling of hydrodynamics (turbulence
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, contains: The VUB Acoustics and Vibrations Research group has a core focus on wind energy as a member of OWI-lab. Our vision is to bring methodological advancements all the way to application in industry
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immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply computational biology/bioinformatics approaches (training will be provided). Some background in programming is therefore
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model and patient samples. Job requirements Essential Requirements: Master's degree in Biochemistry, Cell Biology, Molecular or Structural Biology, Biological/Medical Sciences, or a closely related field
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monitoring will also be integrated into this PhD. Thermal prediction models are currently implemented on a Field Programmable Gate Array (FPGA), while the thermal PI controller (which will be further developed
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. These studies will initially be performed in tractable cell lines to leverage insights gained in the molecular mechanism of protein complex formation, before moving into an iPSC-derived neuronal model and patient
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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initially be performed in tractable cell lines to leverage insights gained in the molecular mechanism of protein complex formation, before moving into an iPSC-derived neuronal model and patient samples
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, molecular biology, or related disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply