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Field
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health To be eligible, candidates must: Have received a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
; a top-ranked scientific environment; and superb benefits, mentoring, and professional development. Positions are available in diverse research areas, including epidemiology, genetics, computational
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investigating the translational potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations
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for new research projects, and develop ideas for generating research income. About You You will have or be close to completion of a relevant PhD/DPhil. For this role, you will need to possess sufficient
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the preparation of peer-reviewed manuscripts, software packages and/or participation in international conferences. Candidates must hold a PhD in demography, epidemiology, public health or related discipline in the
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is expected to hold a PhD degree relevant to the topics of the fellowship. Such a degree might be in (Medical) Sociology, Public Health, Epidemiology, or another area related to survey data analysis
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the Department’s Training and Mentorship Capacity Mentor MPH and PhD students through collaborative research, manuscript development, and professional development activities. Participate in departmental seminars
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presentation skills for engaging diverse stakeholders. Minimum Requirements: Requires a minimum of a PhD in disciplines such as epidemiology, health demography, bioinformatics, statistics, computer science
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affiliated with the Unit of Epidemiology and is expected to contribute, on a limited basis, relevant expertise to other projects within the unit and participate in departmental activities such as seminars
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industry-facing research collaboration and coordinate cross-partner workflows in planning, data-sharing, and iterative decision-making across industrial and academic stakeholders. Teach and supervise PhD