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Senior Lecturer in Immune Haemato-Oncology Job id: 134625 Salary: £65,091- £74,613 per annum inclusive of London Weighting Allowance Business unit: Faculty of Life Sciences & Medicine Department
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the world. VinUni comprises of College of Arts and Sciences; College of Business and Management; College of Engineering and Computer Science; and College of Health Sciences. VinUni’s founding benefactor
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Graduate School of Biomedical Sciences. This role involves providing strategic direction, managing administrative functions, supporting faculty and student development, and enhancing the overall
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 2 months ago
demonstrate how the proposed program will advance one or more of the following strategic priority areas: advanced digital technologies (including Artificial Intelligence, quantum and cybersecurity); clean
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at international conferences. You hold a PhD in computational biology/chemistry, machine learning or a related quantitative field. You have a solid publication record and demonstrated experience with advanced
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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. Applications are invited for Principal Investigator (PI) at Center for Life Sciences (http://www.cls.edu.cn/english/ ). As a pilot program of the National Plan for Education Development and Reform, Center
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The Institute of Science and Technology Austria - ISTA is looking for highly qualified candidates with Bachelor’s or Master’s degrees to apply for the PhD program. We offer fully-funded PhD
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Faculty Position — Research Scientist in Cardiology, Cardiac Regeneration and Translational Cardiova
complementary and symbiotic research program in cardiac regeneration, cardio-oncology, or related translational cardiovascular science areas that align with our department's strategic vision and existing research
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-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets