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George Washington University | Washington, District of Columbia | United States | about 13 hours ago
Recruitment Plan I. RECRUITMENT PLAN Posting Number: F002490 Academic Title: Assistant or Associate Professor in Computational Biology Rank: Associate Professor, Assistant Professor Administrative
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or a PhD plus 5 years of experience in a related discipline, to include two years of research and/or college level teaching in a field basic to the work to be performed. Experience must include planning
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duties that are logically related to the position. Minimum Qualifications: Qualified candidates will hold a Master’s degree plus 5 years of experience or a PhD plus 2 years of experience in a related
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all requirements for the award of a PhD or equivalent qualification in a relevant field by the date of employment. Desired Qualifications: Solid experimental experience in cell and molecular biology and
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total of five years. This appointment is not intended for long-term, indefinite, or career appointments. I. POSITION INFORMATION Job Description Summary: In the Computational Biology Institute, within
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tumor and patient-derived xenograft models. And the Lee lab uses various cellular and molecular biology techniques. This position will primarily conduct cancer research focused on metabolic alteration in
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tumor and patient-derived xenograft models. And the Lee lab uses various cellular and molecular biology techniques. This position will primarily conduct cancer research focused on metabolic alteration in
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conferred by the start date of the position. Desired Qualifications: PhD in immunology, microbiology, molecular biology, or a closely related field Background on working with animal models Expertise
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interdisciplinary, relying on tools from molecular biology, biochemistry, structural biology, AI-based structure prediction, transgenic models, immunology, and neuroscience, but also including industrial
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a detailed notebook summarizing experiments and recording research data; maintain computer database of research data; tabulate and display data for presentation in research conferences and for