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following: soft-robotics, compliant mechanisms, mechanical metamaterials, smart materials or related topics. Capability in computer drawing, modelling and simulating. Proficient in English reading and writing
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, development of data (pre-)processing pipelines, and machine learning model training to identify relevant biological states of the liver (e.g., healthy, recovering, not healthy). The (soft) sensor development
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of methane dynamics in rapidly changing ecosystems and contribute to improving predictive models of future methane emissions. Field sampling will focus on regions where methane cycling is still poorly
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dune development and increase the applicability of coastal dune models. Your job In this project, you will investigate dune erosion and growth by performing morphological analysis on existing coastal
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Gallium Nitride: covering the entire chain from device modelling and
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, transcriptomics, and proteomics and work on advanced biological systems for modelling infection including macrophages, organoids, zebrafish, primary and clinical samples. Embedding within the Institutes of Biology
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English and meets the university’s English language requirements (https://www.rug.nl/education/phd-programmes/prospective/phd-positions/e… ). - Affinity with and knowledge of basics of AI-modelling and data
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://www.rug.nl/education/phd-programmes/prospective/phd-positions/english-language-requirements?lang=en ). Affinity with and knowledge of basics of AI-modelling and data analysis is welcome but not required. We
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home office allowance of €2 per day. Reimbursement for sustainable commuting: walking, cycling, and public transportation. A monthly internet fee of €25. An Options Model in which you exchange benefits
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preclinical in vivo animal models? Then this position might be perfect for you! Join us! We are looking for a highly qualified and motivated PhD candidate to conduct research activities aimed at unravelling