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Field
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focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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software development, sensor fusion, CAD design, prototyping, and system-level testing. You will work closely with MSc students, PhD candidates, postdoctoral researchers to support experimental validation
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also be working primarily with RNA extraction and sequencing to obtain expression profiles of aerosolized cell for model bacterial plant pathogens. • These activities will be in close collaboration
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thinking, and analytical reasoning. High level of English. Advantageous: Experience with Python and/or MATLAB. Experience with health data, metabolomics, chemical instrumentation data, or sensor signals
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intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With their knowledge
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mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With their knowledge and curiosity, our staff
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for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 8 days ago
orbit (LEO) sensors Integrate and test the impact of UV AOD observations from hyperspectral sensors in LEO and GEO orbits on the aerosol analysis and forecast utilizing the JCSDA-Joint Effort for Data
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of dynamic polymer networks; (ii) (bio)material processing; (iii) organ perfusion and regeneration; (iv) tools to study mechanobiology and cell–matrix interactions; and (v) engineered drug delivery