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interface of developmental/stem cell biology, immunology, and computational systems analysis in a highly collaborative and multidisciplinary environment. Qualifications Required: PhD (or nearing completion
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the age of 21 will have some driving restrictions. Ph.D. or other terminal degree in the field of Computational and Quantitative Biology and Bioinformatics, and/or Ecology, Evolutionary Biology
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relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills. Experience in the implementation of mathematical or statistical models and
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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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and technological disclosures writing. Job Requirements: PhD in Computer science, Computer engineering, or related field. Experience in privacy-preserving techniques’ research and implementation. Strong
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hypotheses. This is a fantastic opportunity to contribute to world-class science in a leading biotechnology company. Who you are: Candidates must have a PhD in Computational Biology or Computational Science
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launched Oxford Programme for Cyber and Technology Policy (OxCTP). Reporting to the Co-Directors of OxCTP, you will manage your own academic research activities and collaborate in the preparation of research
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improvement and implementation sciences, evaluation, patient and public involvement (PPI), and economics, and a core team of managers and communication professionals. The KIS programme is supported by KHP
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, responsibilities and activities may change at any time with or without notice. Required Qualifications Education: PhD : or equivalent terminal degree in Biochemistry, Molecular Biology, Cell Biology, or a related