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Field
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predictions of river flow direction and connectivity. You will lead the development of scalable and reproducible data and machine-learning pipelines, upgrade the GRIT global hydrography, and design and evaluate
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extensive engagement with industrial partner (e.g. in terms of data collection and development of practice). The doctoral project What happens to the value and purpose of creative work when people create
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings
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, scientific conferences and other scientific events. Contribute to the preparation of scientific manuscripts and research publications. Where to apply Website https://jobs.vhir.org/jobs/8357465-predoctoral
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development Process multi-model scenario data (IAMC format) into consistent indicators, figures and statistics, with version-controlled, reproducible code Contribute to / lead written outputs, including reports
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biofabrication of functional tissue constructs. Your research 3D bioprinting of cell-laden tissue constructs Development and optimisation of bioinks and printing parameters Integration of bioprinted tissues with
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Research . Together with the adjoining expertise Computer Vision it comprises about 16 diverse specialists ranging from software development to AI/ML research. At DSI, our mission is to unlock the full
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immobilization, support development and functionalization and related analytical techniques including TEM, SEM good knowledge (reading, speaking, writing) of English and Romanian; a good understanding of
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content and job description] The successful candidate will contribute to the research on development of a global database on river levees and flood risk change projection (such as hydrological modeling and
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mechanisms underlying the development of obesity and breast cancer. The project will investigate the molecular mechanisms underlying obesity/diabetes development and breast cancer progression using a