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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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biology, statistics, computer science, or a closely related field). Degree must have been received within the past four years. Preferred skills: Computer skills Knowledge and understanding of genome
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. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science
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the Department of Hematological Malignancies Translational Science, Department of Pediatrics, and Gehr Family Center for Leukemia Research. You will directly work on the following projects: 1) Development
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do things, especially considering recent advancements in AI technology. The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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Only Degree: Doctoral Degree received within the last 60 months or currently pursuing. Discipline(s): Computer, Information, and Data Sciences (4 ) Earth and Geosciences (6 ) Environmental and Marine
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for publication and/or contribute to the dissemination at national/international conferences, resulting in successful research outputs; To identify opportunities and assist in writing bids for research grant
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GÖTTINGEN ACADEMY OF SCIENCES AND HUMANITIES IN LOWER SAXONY | Lower Green, England | United Kingdom | 27 days ago
(April–September). The programme is a funding initiative of zukunft.niedersachsen , a joint programme of the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation, and is coordinated