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considered an advantage. If there are special reasons, your degree may have been completed earlier. We are seeking strong postdoctoral researchers with: A PhD in Medicine, Pharmacy, Biostatistics, Epidemiology
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are looking for a candidate with a PhD in epidemiology, biostatistics, data science, medical science, or a related field, with solid statistical skills and the ability to independently manage data from multiple
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heart regeneration. Your profile PhD and a strong publication record in vascular biology & bioengineering, computational biology, or cardiac/developmental biology and disease modeling. Extensive molecular
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motivated with a passion for investigating policy impacts and have strong analytic and writing skills. The Fellow may have a PhD in health policy, biostatistics, economics, or a related field, or an MD with
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at international conferences. (5) Contribute to the development of grant proposals. Required Qualifications: Qualifications: PhD in Computational Biology, Biostatistics, Computer Science, Immunology, Molecular
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, infectious disease, biostatistics and computational immunology at the University of California Los Angeles. Qualifications: The candidate should have a recent PhD and/or MD/PhD (within the past 2 years) and a
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vacation leave. Qualifications: Minimum Qualifications: Minimum Requirements: § PhD/ ScD from an accredited college or university in statistics, biostatistics, or related field at the start of the postdoc
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. About You You will have a PhD in statistical genomics, genetic epidemiology, population genetics, biostatistics, or a closely related discipline, with demonstrated experience in analysing large-scale
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, and the CDC Insight Network. POSITION QUALIFICATIONS REQUIRED: PhD (or equivalent) in Biostatistics, Epidemiology, or a closely related field. Strong applied data analysis and quantitative modeling
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they are kept fully up to date with progress and difficulties in the research projects. It is essential that you hold a PhD/DPhil in a quantitative discipline (e.g. Statistics, Machine Learning, Biostatistics, AI