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or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and
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implement translational and implementation science using mixed-methods research. Conducted clinical trials with human subjects, including assessments of behavioral and physical diabetes prevention/management
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proposed research (significance for the further development of the subject area, convincing selection of scientific methods, potential for scientific development, clear focus and feasibility within
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advanced machine learning methods, the goal is to create a diagnostic and early risk prediction tool that, if successful, could enhance the prevention, diagnosis, and treatment of female morbidity and
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/or health reasons will be considered. This is because the role is aimed at early career academics who would benefit from a structured development programme and provision of both formal and ‘on the job
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research and training agendas through formal mentorship and coursework, seminars, conferences, and other career development activities. The fellow will have a primary mentor assisted by other mentors in a
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the programme that corresponds most closely to your profile. Our sponsorship The fellowship facilitates the mutual exchange of knowledge, methods and techniques with hosts in Germany; this also extends