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- https://www.kcl.ac.uk/jobs/088690-yeoh-tiong-lay-early-career-fellowship
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Framework. It carries out research, undergraduate, and postgraduate teaching across all areas of theoretical and applied computer science. This is an opportunity to join the Department of Computer Science
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review on violence prevention interventions. The postholder will have a postgraduate degree, ideally a doctoral degree, in a relevant topic, evidence of experience in quantitative or survey research
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skills, you will ensure that milestones and deliverables are achieved to time and to high quality. About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale
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to the supervision of postgraduate students. Excellent communication and organizational skills, along with a proven track record in journal publications and conference presentations. Join us in this exciting venture
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https://www.kcl.ac.uk/jobs/088690-yeoh-tiong-lay-early-career-fellowship | London, England | United Kingdom | 16 days ago
courses at undergraduate and postgraduate level would be an advantage. Candidates must be able to demonstrate excellent communication and presentation skills, and a capacity to foster/contribute
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follows the NIH stipend levels as outlined by the Kirchstein - NRSA . This full-time trainee position will provide a salary between $56,484 to $68,604, dependent upon the years of postgraduate experience
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& international conferences. Input into some postgraduate teaching as part of the IMH/School of Psychology, e.g., the Philosophy & Ethics module of the MSc Mental Health. Promote equality & diversity & act as a
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across discipline boundaries to deliver results with an understanding of the fundamentals of organic synthesis and characterisation techniques. About Us As a specialist postgraduate university, Cranfield’s
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heart disease. The Department is also committed to high quality teaching at both undergraduate and postgraduate level. The role/Te mahi A full-time, fixed term Assistant Research Fellow position is
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postgraduate degree, ideally a doctoral degree, in a relevant topic. The role requires skills and expertise in data science, statistics, and quantitative epidemiology. The position is based within a research