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particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those
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integration and statistical modelling Teaching and mentorship experience Excellent interpersonal and communication skills across wet-lab, computational and facility teams Familiarity with high performance
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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of Applied Psychology, Management, Statistics, Artificial Intelligence; Excellent oral and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
team. The successful candidate will work at the intersection of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and
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programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a
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, Management, Statistics, Artificial Intelligence; Excellent oral and written communication skills in English, including the ability to communicate with clarity on complex information. Excellent communication
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. We are seeking a highly motivated Research
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Science, Computer Science, Astronomy, Astrophysics, or a related quantitative discipline. • Skills: - Strong analytical and computational skills in data science, statistical analysis, or machine learning
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the application process, please contact Biosciences staffing at . About you You must have a PhD (or be studying towards it) in Medical Physics or Bioengineering, Computational Neuroscience, Applied
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and deliver research to tight deadlines. The role will involve collaboration with experienced researchers across medical statistics, epidemiology, informatics, social science and integration