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Field
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CRISPR and other molecular genetic technologies to study infection dynamics. Analyse Complex Data: Apply computational and biostatistical methods to analyse large data. Collaborate Across Disciplines: Work
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direction from the assigned supervisor. Supervision Given None. Required Education Doctoral degree in Cancer or Molecular Biology, Genetics, Drug delivery, Bioinformatics, Biostatistics, Computational Biology
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highly motivated and completed a doctoral degree in the Behavioral and Social Sciences, Public Health, Nursing, Biostatistics or Epidemiology within the past 3 years. The ideal candidate should have a
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specified by the Principal Investigator. ADDITIONAL INFORMATION: The Lau Lab in the Department of Biostatistics and Bioinformatics at Emory University is seeking a highly motivated postdoctoral fellow to work
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of their class with respect to academic credentials. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in epidemiology, biostatistics, computational biology, or a
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biostatistics experiences will be prioritized. Willing to obtain strong recommendation letters from prior research mentors or supervisors A track record of scientific publications and/or achievements, preferably
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maintaining scientific standards Qualifications Basic Qualifications PhD in Computational Genetics, Bioinformatics, Biostatistics, Statistics, or closely related field (summer and fall graduates are also
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candidate(s) will have training in a relevant discipline (i.e., Epidemiology, Statistics, Biostatistics, Public Health or a related field as long as the candidate has a strong foundation in statistics
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foundation in Bio/chemistry, Bioprocess, and Microbial Biotechnology. Additionally, candidates should possess expertise in molecular biology and chemical analysis. Proficiency in biostatistical analysis, data
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of their class with respect to academic credentials. Qualification requirements: Applicants must hold a degree equivalent to a Norwegian doctoral degree in epidemiology, biostatistics, computational biology, or a