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Field
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notions of resilience have to be developed along with algorithms to check resilience of machine learning models. Research is conducted in the fields of automated reasoning, probabilistic verification, and
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) for algorithm development, control design, and data analysis. Confidence and interest in testing and iterating technology together with patients, in the lab and in the clinic. Excellent organizational and
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sensitivity analyses across pathology severity, body morphology, camera viewpoint, and environmental conditions Develop a single-camera, home-based markerless system Test the algorithm across lab and home
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Python and/or C++. Experience with scientific software development is an advantage. An interest in quantum algorithms and the motivation to contribute to one of the world’s emerging research areas. Strong
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wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python) for algorithm development, control design, and data analysis. Confidence and interest in testing and
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vision, and/or synthetic data generation for model training. Solid programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity
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-static beamforming methods, and semi-tomographic reconstruction algorithms that enable high-quality 3D visualization of the abdominal aorta. In addition, you will develop algorithms for segmentation
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student to help us develop practical cryptography for the post-quantum
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the project. What you will do Conduct original and high-quality research in machine learning and computer vision; Develop novel algorithms for adapting and specialising visual foundation models; Publish
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, Supramolecular and Bio-Inspired Catalysis (HomKat ) group You will be working within a bigger national team of researchers financed by GroenvermogenNL (WP6). The research at the UvA will focus on development