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health interventions, particularly vaccines. It will involve applying a range of health economic, mathematical and statistical techniques, including economic evaluation and computational methods. The roles
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
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and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical displays of results and manuscripts for publication. Basic Qualifications
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different policies on market outcomes, such as EV subsidies, domestic content requirements, trade policies, amongst others. Recent PhD in Economics (or related discipline) with a clear interest in mining and
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information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in a relevant subject area Substantial research experience
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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique
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outputsDisseminate results through scientific publications in top AI tier-venuesProvide guidance to PhD and MSc studentsContribute to teaching and advanced seminarsDesign and executing large-scale experimental
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femtosecond pump–probe methods, wide-field imaging, and advanced statistical and computational analysis to elucidate structure–function relationships in biological systems. Candidates are expected to have
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Postdoctoral Associate / Senior Postdoctoral Associate Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD or MD or foreign equivalent in hand by date of hire
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conferences. support the teaching activities at the faculty (up to 10% of the time). What we ask of you A PhD in Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field