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including but not limited to sexual misconduct in prior employment and provide a related release and will be subject to a criminal background and credential check. Education Requirement: Candidates must have
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. Individuals who are highly motivated and willing to develop innovative new techniques to answer critical questions in gynecologic cancer are encouraged to apply. The successful candidate is expected to work
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and continue to focus on defining the different mechanisms that underlie disease to develop more refined diagnostic and treatment algorithms, resolve questions of phenotypic variability, and provide
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. The scholar will analyze VA data, construct machine learning models (including but not limited to interpretable models) focusing on clinical outcome prediction, develop manuscripts to submit to leading journals
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and complex questions. Education Requirement: Ph.D. in biology, neuroscience, or a related field, or equivalent degree. Required Qualifications: Ph.D. in biology, neuroscience, or a related field, or
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experience for publishing impactful papers. Assisting with grant application. Education Requirement: PhD and/or MD degree in Neuroscience, Computer Science, Electrical/Biomedical Engineering, Psychology
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conferences. Adhere to safety and compliance guidelines. Summarize and write findings pertinent to the research carried out. Support other members of the laboratory with their expertise. Education Requirement