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for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics
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Strong theoretical background and practical experience in neurosciences, with a keen interest for neurometabolism Solid bioinformatic and biostatistics skills will be required Excellent organizational and
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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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faculty in three Divisions, including Cancer Population Sciences, Biostatistics, and Health System Innovation & Research, we provide expertise and infrastructure to advance capacity for impact-driven
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a letter from their Department Chair specifying the date of their dissertation defence. Experience A strong background in biostatistics and epidemiology, longitudinal research, and causal analyses is
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a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine, or a related science field. Candidates should
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students, and may also teach one course per year for the Department of Statistics. A Ph.D. in Statistics, Biostatistics, Machine Learning, or a directly related field at the time of appointment is required
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Science, Genomics, Biostatistics, Epidemiology, or a related discipline; and 2) completed postdoctoral training. We especially welcome applicants with experience analyzing large-scale cohort or multi-modal
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, engaging with other data analysts, students, post- docs and faculty on the team Conduct comprehensive high-throughput multi-omics data analysis and epidemiological analyses; Apply biostatistics and cancer
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appointment is one year with the possibility of renewal based on performance. Minimum Qualifications Ph.D. in Computer Science, Bioinformatics, Biostatistics, or closely related field. Strong publication record