1,598 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "University of St" positions at Nature Careers
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of Odontology comprises approximately 70 employees and delivers education across Dental Hygiene, Dentistry, and Dental Technology, alongside a vibrant program of oral health and microbiome research. Project
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The Chief Architect- Centre of Excellence(CoE) for Spatial Computing (AR/VR/XR) will pioneer DSU’s vision for the Industrial Metaverse, leading research and platform development in extended reality
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subsequently into models of antibiotic responses, with direct relevance for drug development and patient treatment. We (boecklab.com ) are looking for a scientist who will define the computational backbone
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from either engineering, physics, computer science or medicine, with the life sciences. We welcome applicants with experience across diverse areas of biomedical imaging. You will integrate imaging
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Prof John Le Quesne - Deep Phenotyping Advanced Technology facility Scientific Officer Salary: From £23,342 to £36,263 based on qualification and experience. Contract: up to14 months fixed term
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supports cutting-edge biotechnology in the areas of mass spectrometry method development and the development of new, bio-based materials. Information about the group can be found at https
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that includes a Nobel laureate and members of the National Academy of Science and the National Academy of Medicine. St. Jude is ranked on Fortune Magazine's "Best Workplaces in Health Care & Biopharma" and
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Job Description Collaborates with new and existing program partners to support research initiatives, including the collection, analysis, and interpretation of primary and secondary data to address
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
the Ecology group https://www.sdu.dk/en/forskning/ecology . The successful applicant is expected to have a research background in basic and/or applied research related to systems ecology, with a focus on
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Software Engineer - Image Quantification and Artificial Intelligence (IQAI), Department of Radiology
Job Description The Image Quantification and Artificial Intelligence (IQAI) Collaboratory is the technical engine of the Intelligent Imaging Informatics (I3) Section within the Department