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position is available in the group of Prof. Alexey Nesvizhskii at the University of Michigan Medical School. The position will focus on developing computational algorithms and tools for the analysis of mass
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analysis tools for the large data stream of HTP phenotyping for assessment of abiotic and biotic stress tolerance (e.g. determine extent of damage to a disease or functional response to humidity); also
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for independent and directed research, supervision of technical analysis, assisting in the planning and day-to-day management of the palaeoecological work packages, related collaboration and outreach
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& Moist). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a robust and reliable testing protocol. Key Responsbilities
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and Hydrodynamics Conduct advanced stochastic analysis of wave environments to evaluate the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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-related issues in organizational strategic decision processes. This role integrates behavioral research approaches, field studies, and data analysis to generate high-quality academic research outputs and
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participant recruitment Supervise Research Assistants and part-time student assistants in administering psychoeducational assessments Develop and execute quantitative data analysis pipelines (Mplus, R) Prepare
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Classification: Post Doc 12 month Job Category: Postdoctoral Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA Workplace Type: Hybrid Eligible Sponsorship Eligibility
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health and wellbeing of care-experienced young people. The Fellow will take a key role in the final stages of secondary analysis of administrative, child-level datasets about care-experienced young people