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, communications, and updates. Required Education and Experience PhD Degree in computer science, applied/computational mathematics, engineering, bioinformatics, data science, or a related field and two years
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: ● Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment ● Strong oral and written communication skills
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with (and establish new) local and international collaborations. Qualifications: PhD or MD-PhD in molecular biology, genetics, biomedicine, bioinformatics, or a related field. Track record of research
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and Python), along with an interest in applying these skills to problems in immunology/biology. A Ph.D. in a quantitative discipline is desired (Bioinformatics, Computer Science, Statistics, Physics
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of Medicine, is recruiting one highly motivated bioinformatics/molecular epidemiology postdoctoral associate (2-year appointment) to begin late Spring/Summer 2025, who aspires to become an independent academic
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-yale-center/ | https://www.linkedin.com/in/clemens-scherzer-md-812b72130/ Candidates should have a Ph.D. in a relevant quantitative field (e.g. CS, Bioinformatics, Statistics, Computational Biology), a
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/ Responsibilities Use bioinformatic tools to analyze large-scale genomics datasets Develop and apply innovative methods for analyzing and classifying genetic variation Prepare high-impact manuscripts for publication
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have a strong research track record and must hold a Ph.D. and/or M.D. degree. A background in nucleic acid biochemistry, bioinformatics, and/or data science is advantageous, but we welcome talented
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genetics and/or statistics, including knowledge of genomewide methods, such as GWAS and post-GWAS analysis; and comfort with bioinformatics. The candidate should also be able to work cooperatively with peers
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. Participate in lab data organisation, housekeeping, shared tasks. Work with (and establish new) local and international collaborations. Qualifications: PhD or MD-PhD in bioinformatics, computational biology