10 computational-fluid-dynamics Postdoctoral positions at Fred Hutchinson Cancer Center
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? The Li Lab at Fred Hutchinson Cancer Center (https://research.fredhutch.org/haolong-li/en.html) is seeking highly motivated and collaborative postdoctoral fellows to join our dynamic team. We are dedicated
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. Qualifications MINIMUM QUALIFICATIONS: Ph.D. or M.D. in biology; biochemistry; genetics; molecular biology; cell biology; immunology or related field. Expertise in computational biology. Demonstrated proficiency
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, organized individual who thinks independently but enjoys working as part of a dynamic, collaborative, and multidisciplinary team. Excellent verbal and written communication skills. PREFERRED QUALIFICATIONS
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ling live animals, and behavior analysis. Excellent communication skills are a must. Superior verbal and written communication and routine computer skills (PC/Mac) are necessary. Must be independent and
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to understand cancer development and to develop new therapeutic strategies. The Fred Hutch/University of Washington Head and Neck Research Program- Fred Hutch and the University of Washington have a world-class
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. Responsibilities The Ring Lab is recruiting a Post-Doctoral Research Fellow with expertise in immunology, systems/computational biology, and/or protein engineering. This position will involve research projects
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support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence
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support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence
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include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition
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complete) a Ph.D. or equivalent in Statistics, Biostatistics, or a similar quantitative field prior to their appointment. The candidate should have solid training in statistical methods and computational