845 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Nature Careers
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-disciplinary and collaborative environment at our state-of-the-art research facility at Harwell in Oxfordshire. For more information on the Franklin’s Challenges click here . The Multidimensional Imaging (MDI
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products. CDRH provides consumers, patients, caregivers, and providers with understandable and accessible science-based information about products. CDRH facilitates medical device innovation by advancing
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Selectris energy filter and Falcon 4i. The Crick Institute has excellent High Performance Computing resources, dedicated high-speed data storage and CPU and GPU clusters. In collaboration with the Cryo-EM
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Management: Ensure effective use of resources and alignment with institutional priorities. Assessment and Improvement: Monitor and assess the effectiveness of administrative programs and initiatives. Use data
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Langelandsgade 140, 8000 Aarhus C, and the area of employment is the Department of Chemistry, Aarhus University and related departments. Further information about the position may be obtained from Associate
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
An ability to take initiative, develop, and manage research activities Proficient quantitative skills with data analysis and programming e.g. in R and python Documented experience in scientific writing and
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Research Associate II or Clinical Research Associate II (RN) is responsible for performing data abstraction, collection, and broad activities in support of clinical research for the Hospitalist Medicine and
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research in focused ultrasound therapy, aiming to achieve breakthroughs in acoustic physics, ultrasound biology, multimodal imaging, intelligent treatment, and clinical big data. Our mission is to develop
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Job Description The Clinical Research Associate II is responsible for performing data abstraction, collection, and entry to support clinical research. Develops, maintains, and/or monitors case
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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another