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Field
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Qualifications PhD in epidemiology, biostatistics, data science or comparable; Ideally, an experience working with insurance claims data; Good writing skills in English. Interest in working in an international and
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, supervising students and joining different scientific activities in the laboratory. Research Fields Biostatistics/biological modeling. In the appointment process, special attention will be paid to research
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FieldEnvironmental scienceEducation LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications PhD in Agricultural Sciences, Soil Science, Bioinformatics, Biostatistics
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activities on campus Eligibility criteria PhD in genetics, or bioinformatics, or data science, or biostatistics Cover letter, CV, Recommendation letter and contact if possible Selection process Deadline
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satisfactory performance and funding availability. Applicants should possess a PhD degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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conferences, and prepare and submit applications to national and international funding agencies in order to establish research independence. Key Skills, Experience and Qualifications PhD in epidemiology
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think outside the box, to learn fast, collaborate effectively, iterate quickly, and work at the interface of both experimental and computational design. Qualifications for Computer Scientists, AI/ML: PhD
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remain open until September 30th , 2026. PhD in Biostatistics, Statistics, Data Science, Statistical Science, Applied Mathematics or related field. Faculty Criminal Background Check Prospective Employee
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Abilities Doctorate/terminal degree (e.g., PhD, ScD) in a quantitative field relevant to population health, including but not limited to Economics, Demography, Quantitative Sociology, Health Policy, Public
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. Profile You hold a PhD (or you will have obtained it by the time you start work) in the field of Demography, Population Studies, Statistics or a related field and you have sound knowledge of quantitative