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international and interdisciplinary project with research partners and stakeholders from five European countries. This position will focus on a spatial analysis of unsealing activities at a European scale and a
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developing AI driven ultrasound solutions by collaborating with the Diagnostic Image Analysis Group (DIAG). The Department of Medical Imaging is one of the leading centers in the world as also demonstrated by
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analysis. You have a good scientific background, are highly motivated and independent, and are able to work in an interdisciplinary team of medical doctors and engineers. Good programming skills
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(derived from AI-supported monitoring and analysis of sources such as satellite imagery, acoustic sensors, and camera traps) can inform spatial planning and decision-making for solar and wind energy
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Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided
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broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science
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information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. The Amsterdam Machine Learning Lab (AMLab) conducts
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) Engineering, Mechanical Engineering, or a closely related discipline. Demonstrated experience and skills in experimental work, including strong skills in data processing, signal analysis, and programming (e.g
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department to create artificial structures with tailored electronic properties [8]. Relevant references: [1] Kamber et al., Science 368, eaay6757 (2020), Self-induced spin glass state in elemental and
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research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science