952 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Nature Careers
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to the admission and discharge process. Night shift with weekend rotation Minimum Education and/or Training: High school diploma/GED Completion of a Nursing Assistant/Medical Assistant program required or completion
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Science Framework (OSF), AWS Public Data Registry, CodeOcean, DataLad, and Globus. Internal tools include data pipeline management tools developed in Scientific Computing Software. Guide and centralize
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(collaborative or independent) in sickle cell disease and to care for individuals with sickle cell disease. As a fellow in our Sickle Cell Disease program, you will be immersed in a multidisciplinary multi
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management program. This includes compliance with regulatory and accreditation standards, as well as fostering process improvement in collaboration with internal and external emergency preparedness
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human health. Within this mission, the Iorio Group works at the intersection of computational biology, functional genomics, and precision oncology, integrating machine learning, large-scale CRISPR
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computing in a Linux environment A record of presenting your research at scientific conferences Excellent knowledge of written and spoken English (C1) A commitment to collaboration and communication within a
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-reviewed journals and workshops Your qualifications: A Master's degree (or equivalent) and a PhD in Hydrology, Civil or Environmental Engineering, Geosciences, Environmental Sciences, Physics or Mathematics
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of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation. The application must be in English and include a curriculum vitae, degree certificate, a complete list
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or Associate Professor level, whose research program investigates mechanisms and/or therapeutic targets for Alzheimer's disease (AD), brain aging, dementias and AD-related disorders (ADRD). ACT is interested in
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interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate