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Science and Mass Spectrometry. Post Doctoral Scholars are expected to lead analyses critical to the research program and to take initiative in contributing to the design of experiments involving enhanced
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and presentations at national/international conferences. Qualifications PhD in Data Science, Statistics, Biostatistics, Computer Science, Bioinformatics, or related field. Strong critical thinking and
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with statistical modeling (ideally Bayesian statistics) • Proficiency in Fortran, R, Python, Matlab, or ideally other common languages (e.g., C/C++) Strong computational skills Strong oral and written
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or related field with specialization in computational biology and statistics or related areas is required. Demonstrated experience in 3D morphometric analysis is required. Desired: Research interest
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| Mechanical and Aerospace Engineering Performs basic or applied research in the area of computational fluid dynamics, including problem setup, simulation and advanced post-processing for multiple projects
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. The Post Doctoral Scholar will embark on a program of independent research with the primary goal of determining how computational and theoretical methods can provide thermodynamic design principles
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statistical data analysis. Show evidence of experience in focus groups, interviews, and other qualitative methodologies. Be skilled in literature review, research project management, and academic writing
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/ Statistical Genetics or closely related program. Required Qualifications Ph.D. degree in bioinformatics, statistical genetics, biostatistics, or a closely aligned quantitative area. Candidate is expected
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the CLASS, ITERS/ECERS/FCCERS or other observational tools related to measuring the quality of early childhood settings and teaching practices Proficiency with SPSS, Mplus, and at least one other statistical
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of highly specialized mass spectrometry assays to support immuno-oncology and cancer biology research initiatives, collaborating closely with a multidisciplinary team of computational biologists