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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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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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FLOW research group is a young, dynamic group working in the fields of thermodynamics, fluid mechanics, and data-driven modelling. At the Department of engineering Technology (INDI) — Thermo and Fluid
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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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for IoT communication and sensing applications with orders of magnitude less energy consumption than current solutions. Leverage large bandwidth at mm-wave to deploy several mm-wave IoT devices in dense
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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
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improve the efficiency, maneuverability, and noise performance of drones and other multirotor aircraft, but their deployment requires more advanced modeling and control methods. The PhD will focus
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit