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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 5 hours ago
, and clinicians to address clinically relevant questions. Key Requirements A PhD, completed or nearing completion, in a computational or quantitative discipline, including computational biology
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effectively both independently and as part of a research team to meet agreed project outcomes, timelines and milestones. Qualifications: Mandatory for Academic Level A appointment: PhD or close to submission in
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, support faculty in grant writing, and mentor data scientists, PhD students and undergraduate and graduate interns. Key Responsibilities : Perform independent research: own a research project from
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and digital media. You will work closely with the Project Investigators, contributing to all stages of the research process, including design, data collection, analysis and dissemination. The role will
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doctoral level degree (PhD, MD, MD/PhD) in molecular biology, genomics, immunology, or equivalent from an accredited institution. At least one first-author publication in an internationally recognized, peer
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roles, required qualifications and competencies also include: PhD degree in physics, engineering or related field. Competent in teamwork and presenting results in informative visuals. Interpersonal skill
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and digital media. You will work closely with the Project Investigators, contributing to all stages of the research process, including design, data collection, analysis and dissemination. The role will
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, or experimental testing of plasma devices within vacuum chambers, and a demonstrated aptitude for learning new fields of research. The person should have a PhD, or equivalent qualifications and experience, in
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and digital media. You will work closely with the Project Investigators, contributing to all stages of the research process, including design, data collection, analysis and dissemination. The role will
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faculty member they would like to work with. This faculty member should be affiliated with one of the following Caltech Divisions: Physics, Mathematics and Astronomy (PMA) , Engineering and Applied