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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies
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development for all. Radboud University At Radboud University, we aim to make an impact through our work. We achieve this by conducting groundbreaking research, providing high-quality education, offering
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-house prototyping team. Organisation The University of Groningen, founded in 1614, is renowned globally for its exceptional education and research. With around 34,000 students and researchers, it fosters
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University has a number of schemes and facilities of its own for employees. This includes schemes facilitating professional development external link , leave schemes and schemes for sports and cultural
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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to demonstrate the translatability of your findings. Your work as a PhD candidate will include: contributing to the development of a non-invasive PGT system for genetic selection and screening of equine embryos
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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Vacancies 2 PhD Positions to contribute to a project crafting the future of healthcare decision making Key takeaways In the section Health Technology and Services research at the University
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collaboration with the Interfaces and Correlated Electronics (ICE) group at the University of Twente and the Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive
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develop innovative methods to measure diverse isotope dimensions for methane, as well as organic precursors, in order to trace carbon flow in methane-related ecosystems; 2) You will conduct culture