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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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. 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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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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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
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to mentoring junior lab members and participate in grant writing and dissemination activities Engage in collaborative national and international projects Requirements PhD in genetics
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researchers with: A PhD in Medicine, Pharmacy, Biostatistics, Epidemiology, Computer Science, Image Analysis, or another quantitative discipline. Achieved proficiency in statistical programming (e.g., R
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Requirements Research FieldOtherEducation LevelPhD or equivalent Skills/Qualifications Education and research background: PhD in biostatistics or psychometrics Previous experience in health research and
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
biology, psychology and neuropsychology, neuroscience, exercise physiology, oncology, pharmacology, radiology, surgery and biostatistics. St. Jude leads two of the world's largest pediatric survivorship
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You will have or be close to the completion of a PhD/DPhil in epidemiology, biostatistics or big data, along with demonstrable experience of working with population registers and large datasets. With