99 algorithm-development Postdoctoral positions in mechanical-engineering in Netherlands
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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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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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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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to both technical metrics and educational outcomes. Responsible AI and fairness auditing. Conduct algorithmic fairness validation of the CLARA system, develop documentation on data governance and GDPR
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postdoctoral research is part of the NWO project “PAving THe way towards Zero-Emission and RObust inland shipping (PATH2ZERO)”, which aims to develop breakthrough action perspectives and sustainable business
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the NWO project “PAving THe way towards Zero-Emission and RObust inland shipping (PATH2ZERO)”, which aims to develop breakthrough action perspectives and sustainable business models for all parties in
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models of high-voltage components, substations and protection. What you will do Develop and validate detailed EMT models of high-voltage components in RSCAD/RTDS, for example lines and cables, transformers
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Explore fundamental spin physics at the interface of acoustics and MRI, and help develop a new imaging contrast sensitive to microscopic magnetic-field inhomogeneities. Job description We
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such as municipalities operate in an increasingly complex and dynamic environment. Globalisation, rapid technological developments, and societal changes require organisations to perform reliably and to
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capabilities interact with operational conditions, human intervention and the wider maritime and port logistics systems. The postdoctoral researcher will develop data-driven and model-based approaches to support