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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics
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programming applied to statistical models, as well as in GIS, • knowledge of cancerology, • an experience in spatial data processing and/or remote sensing. You are familiar with the necessary software and tools
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of the meiotic cell cycle. Our work involves genetic mouse models, combined with molecular, cellular, and biochemical analyses. A successful candidate will work closely with the principal investigator as
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at https://www.ars-grin.gov and https://grin-u.org/ . Benefits: WSU offers a comprehensive benefits package which includes paid sick and vacation leave; paid holidays; medical, dental, life and disability
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Industrial Engineering and Operations Research. Good technical knowledge of probabilistic models and machine learning Basic knowledge of quality management in the manufacturing industry (e.g., SPC, FMEA, HACCP
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to investigate cancer biology, therapeutic response, immunotherapy, and drug delivery in small-animal models. Design and optimize MRI protocols for longitudinal preclinical studies. Perform quantitative image
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mainly be connected to DRIVE PR, but may also be linked to related projects within data-driven product realisation, digital engineering, systems engineering, geometry assurance, automation, or model-based
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Materials Science section at TU Delft is actively engaged in developing fundamental understanding for next-generation circular steelmaking. Using advanced atomistic modelling techniques, you will unravel
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chemical transport model (CTM). These geospatial inputs and information will be used to fine-tune a NASA foundation model (Prithvi WxC) to emulate CTM processes, and to predict ground-level air quality data