10 formal-verification-computer-science Postdoctoral positions at Fred Hutchinson Cancer Center in United States
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Bai Lab (Basic Sciences Division) is looking for a Postdoctoral Fellow to join a diverse
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fields: cell cycle control and protein degradation by the ubiquitin-proteasome system. Our work focuses on both tumorigenesis and normal biology, and our overall goal is to apply new mechanistic insights
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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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is part of the Prostate Cancer Program and is located next to the Nelson Lab (https://research.fredhutch.org/peternelson/en.html) and the Haffner lab (https://research.fredhutch.org/haffner/en.html
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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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. 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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. Qualifications MINIMUM QUALIFICATIONS: Ph.D. degree in biology; biochemistry; genetics; molecular biology; cell biology; immunology or related field is required. An M.D. degree is also acceptable. Highly-motivated
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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