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capture and utilization processes. Electrifying industrial heat Industrial heat accounts for two-thirds of industrial energy demand and nearly one-fifth of global energy use. In the Netherlands, a third of
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measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
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measurement techniques such as Particle Image Velocimetry, InfraRed Thermography and Background Oriented Schlieren for the study of critical aerodynamic phenomena such as flow separation, transition
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or a closely-related field. Demonstrated experience with SAR image processing using SNAP, PolSARPro or similar. Experience in the use of SAR for agricultural applications. Demonstrated proficiency in
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-voltage converters as programmable heat sources, enabling large-scale, efficient electrification of heating in carbon capture and utilization processes. Electrifying industrial heat Industrial heat accounts
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ranging from (bio)chemistry and physics to bioinformatics and cell biology. Our drive is to push boundaries in our aim to visualise molecular processes in their native context and at the highest possible
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, transitions of control, driver awareness, and the communication of system capabilities and limitations. The project brings together expertise from human-computer interaction, AI, human factors, cognitive
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, with part of your time spent on-site at Model Health (Leuven, Belgium) for the development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in
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development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in the multidisciplinary "Care is coming home!" program, a 5-year consortium of 2 technical universities
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expertise and that of the team to rapidly identify problems, propose solutions, and prototype, test, and validate new ideas that expand our core technical capabilities. Your work will include designing and