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Welcome to Maastricht University! Join a public-private partnership working on the development of humin based recyclable networks for adhesive and composite applications. In this PhD project, you
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to contribute to healthcare innovation. Are you excited about developing and implementing new radionuclide and radiopharmaceutical production methods? Then we warmly welcome you to apply and hopefully join our
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motivated and innovative postdoc who wants to contribute to healthcare innovation. Are you excited about developing and implementing new radionuclide and radiopharmaceutical production methods? Then we warmly
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Are you passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio)catalysts and drugs? We
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of the internship: Machine Learning for recognition of planetary materials from multispectral datasets You are sought to contribute to the ongoing development of Machine Learning algorithms for recognition
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scientific standards, while offering subject matter expertise to guide ML-based algorithms development. Key responsibilities include expanding, curating and quality-assessing multi-spectral archives within
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elegant APIs and intuitive, welcoming, user-centered interfaces; Definition and development of agentic (user)interfaces to OpenML; Contribute to OpenMLs’ federated position ensuring that the platform
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How can cooperative ownership and development models in the housing and energy sectors contribute to an affordable, sustainable, and equitable society? Can they help shape a new economy that
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significant environmental effect. Although large steps have been made in a deeper understanding of tire-road interaction in the development of better elastomer compounds for tires, so far, the underlying
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Can technology learn to listen to how athletes feel, and not just to what the sensors measured? In the ASPIRE project, we develop knowledge for the new generation of sports tracking technology that