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, molecular entomology, and other duties in the lab. This position will be located in a federal building at the USDA-ARS Horticultural Crops Research Unit. 3240 NW Orchard Ave, Corvallis OR 97330. Transferable
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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in culture, experiments performed on cell lines); - experience in cell and molecular biology techniques (electrophoresis, western blot, spectrophotometric analyses of cellular proteins, genomics
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numerical simulations to reproduce and predict magnetically confined fusion plasma experiments 2.Development of transport models based on simulation data and their implementation into integrated transport
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, Cedars-Sinai has evolved into one of the most dynamic and highly renowned medical centers in the world. Along with caring for patients, Cedars-Sinai is a hub for biomedical research and a training center
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Facilities | Centre for Molecular Medicine and Therapeutics | Faculty of Medicine Compensation Range $4,109.47 - $4,507.06 CAD Monthly Posting End Date April 1, 2026 Note: Applications will be accepted until
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neuroinflammation in the context of chronic pain. The Research Assistant will contribute directly to in-vivo and molecular studies examining how injury-induced pain-driven inflammatory signaling within the CNS alters
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Counselling Dentistry Embryology Life Sciences Medical Biochemistry Medicine Molecular Biology Neuroscience Nursing, Midwifery and Social Work Oncology Ophthalmology and Vision Sciences Optometry and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
is also leading the development and validation of novel machine learning methods for LEGEND simulations and analysis. We have been heavily involved in constructing, commissioning, and operating
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management within a dynamic team of faculty, postdocs, and graduate students. The successful candidate will be expected to engage in research in photonics and/or quantum technologies, lead federally funded