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microscopy, quantitative image analysis, fruit fly genetics, anatomy, and behavioral experiments are encouraged to apply. Candidates must initiate and ensure compliance with applicable safety procedures; and
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with the PIs and team members. Responsible for data management, analysis, and presentation of results to industrial partners and at relevant scientific conferences. Qualifications: A Ph.D. in a related
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and independently. Strong attention to detail and analysis skills, able to synthesize and coordinate information from a variety of sources. Willingness and flexibility to accommodate and effectively
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business intelligence. Candidates should display skills in areas such as statistical analysis, forecasting, programming, and evidence-based decision making for sport organizations. Candidates must also
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in Business Administration, Accounting, Finance or a related field and two years of job-related experience, or equivalent combination of education and experience. Knowledge of cost analysis techniques
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for the analysis of long-time and/or large-scale molecular dynamics simulations in collaboration with the PI. The postdoctoral scientist will also collaborate with immunologists, molecular and structural biologists
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to advance the intersection of these fields requires extensive familiarity with experimental and computational analysis of soil communities, ecological theory, and familiarity with machine learning. We expect
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student conduct) to student concerns. Directly engage in formal assessment design, analysis, report authorship, and presentations of student engagement outcomes in a cycle of continuous, evidence-based
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experimental design and neuroimaging data analysis software (SPM, AFNI, FSL, Freesurfer, MRtric, etc.) is preferred Notice of Non-Discrimination, Equal Opportunity and Affirmative Action The University