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Models to push the frontier where computer vision, physics simulation, and embodied AI converge. Join Us! This position is part of a collaborative research programme between the University of Amsterdam
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knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/358946/phd-position-on-vision-language… Requirements Additional
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vision imaging technologies and machine learning methods to estimate physiological parameters (eat-readiness, shelf-life) of fruits at industrial sorting speeds. The work will include creating an accurate
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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types of data, including omics data, analytical data, imaging data and ecological data. Through this position, we aim to strengthen research and methodological innovation capacities for data analysis and
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/transformative innovation in the sector. Our vision is to become an “EO innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovation such as AI, ML, quantum computing, edge
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force behind the design, construction, and experimental validation of a next-generation magnetocaloric heat pump prototype, a technology poised to revolutionize the market and contribute significantly
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disorders, and neurodegenerative diseases. By integrating non-human primate (NHP) models with advanced imaging, in- and ex-vivo approaches, and innovative non-animal methods, BPRC generates unique
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and their application in the life sciences. The chair group puts a strong emphasis on the development and application of advanced spectroscopy and imaging techniques. Research directions of current
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the University of Amsterdam (UvA) as an Assistant Professor in AI and Medical Image Analysis within the Quantitative Healthcare Analysis (qurAI) group. Join Us! The Quantitative Healthcare Analysis