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during Pregnancy: Background in biostatistics, psychiatric epidemiology, pharmaco-epidemiology, or related fields, with a relevant PhD degree (required). Experience with statistical analyses
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design, biostatistics, and writing of scientific papers in this field is required. Experience in Arctic field work, eDNA analyses including metabarcoding and qPCR, bioinformatic analysis, and remote
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) for ongoing lab projects. The candidate should have a two-year master’s degree in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field (e.g. Mathematics, Physics, Statistics
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experience in R and/or Python. Either strong experience with genomic epidemiology or with deep learning (e.g.Pytorch or similar). Experience with epidemiology and/or biostatistics. Experience with
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the following competencies and experience: PhD in Epidemiology, Public Health, Medicine, Data Science, Statistics/Biostatistics, or other relevant disciplines Excellent skills in quantitative analysis and highly
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. The candidate has: A PhD in computational biology, molecular biology, molecular epidemiology, or biostatistics A master’s degree in a similar field High-quality peer-reviewed publications that have scientific