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Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD degree in biomedical engineering, neuroscience
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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scientific research papers/articles. Minimum Education and Experience: PhD degree required. Strong background in molecular biology and cancer biology, required. ABD candidates may be considered; qualified
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present data to the PI and other lab members in a timely manner. Assists in the conducting a continuous program of research and development. May evaluate existing procedures and proposes modifications
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Eligibility ABP Qualifications Minimum Education and Experience New or recent PhD degree and strong background in molecular biology and cancer biology, required. ABD candidates may be considered, qualified
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graduate) in laboratory techniques and procedures in the area of cellular and molecular analysis to carry out research assignments. Minimum Education and Experience: Qualified candidate(s) must hold a PhD or
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Pension Eligibility ABP Qualifications Minimum Education and Experience Candidate(s) must hold a PhD or MD degree in Neuroscience or relevant biological sciences. Candidates in ABD (all but degree) status
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Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience Candidate(s) must hold a PhD or MD degree
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Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD or MD degree in cell and molecular biology
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Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience PhD or MD degree in cell and molecular biology