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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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-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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: 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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: 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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wide variety of disciplines encourage the 33,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and joining forces with
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research environment. Undertaking relevant academic training, including methods courses, seminars, and skills development workshops offered by the Graduate School of the Humanities and other university
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Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research
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Organisation Job description Organisation Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education
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dissecting RNA structure ensembles in living cells. Particularly, you will: Develop novel methods (both wet and computational) for the accurate interrogation of RNA 2D and 3D structures in living cells. Apply
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growing need to help instructors develop critical AI literacy, so they can understand both the opportunities and limitations of these tools. It is also essential to support them in creating inclusive