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systems and potentially extend their experimental capabilities by integrating deep learning throughout the imaging workflow, from data acquisition to final analysis. As a PhD student in this project, you
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imaging. Strong analytical skills and experience with medical imaging technologies and data analysis. The ability to work collaboratively in multidisciplinary teams and communicate effectively across
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subprojects (SP): 1) SP1 includes desk research and case file analysis about how decisions are based on what kind of legitimations 2) SP2 unfolds how decisions are justified in-the-making via shadowing and
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research and case file analysis about how decisions are based on what kind of legitimations 2) SP2 unfolds how decisions are justified in-the-making via shadowing and narrative interviews 3) SP3 focusses
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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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-spectroscopy, and (extensional) rheology will be used to quantify different structure characteristics, ingredient and water distribution, and textural properties. The gained knowledge will be used to provide
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terms of fieldwork, participation in consortium meetings, and to the analysis and writing of the shared output. The candidate is expected to contribute actively to the Marine Ecology Lab. Group and the
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that Greek and Roman elements were interfused in shaping society and culture in the Roman period polis. At Groningen University, you will be offered a unique opportunity to work in an international environment
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interdisciplinary approach by exploring texts, inscriptions and archaeological material to cast new light on the ways that Greek and Roman elements were interfused in shaping society and culture in the Roman period
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of these trials, in collaboration with the staff of the WUR Human Research Unit (HRU); performing data analysis and interpretation; publishing the findings in peer-reviewed journals and presenting research output