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models. by combining cutting-edge data science with advanced clinical expertise and imaging technologies. Your colleagues: A dynamic, interdisciplinary team of intensivists, clinical technologists, PhD
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collaboratively in an interdisciplinary, multicultural research environment. Strong analytical skills, with experience in statistical analysis, geospatial data processing, or modelling of socio-environmental
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description Join the Extreme Materials & Mechanics (X2M) Group at the Department of Materials Science and Engineering (MSE), TU Delft, in a cutting-edge PhD project that aims to revolutionize how stainless
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, predictive modeling of pavements, or infrastructure analytics. In this PhD, you are expected to develop a systematic, future-proof framework for predicting pavement lifetime, with a strong focus on Dutch road
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25 Sep 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Chemistry » Homogeneous catalysis Chemistry » Molecular chemistry Researcher Profile First Stage
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://www.academictransfer.com/en/jobs/355285/experimental-phd-position-under… Requirements Additional Information Website for additional job details https://www.academictransfer.com/355285/ Work Location(s) Number of offers
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unstructured data from various sources to enable advanced visualization and insights. Applicants should have experience in data management, predictive modeling of pavements, or infrastructure analytics. In
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The Groningen Institute for Evolutionary Life Sciences (GELIFES - https://www.rug.nl/research/gelifes/) offers a 4-year NWO M1-funded PhD position for a project on “Social Ageing: Social environment
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Your job Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD opportunity could be
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English language requirements (https://www.rug.nl/education/phd-programmes/prospective/phd-positions/english-language-requirements?lang=en ) The ideal candidate will also have: Data wrangling experience in