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: Quantitative Social Science Analysis and Big Data. A 35% appointment requires teaching 2 laboratory sections per week, and a 70% appointment requires teaching 4 laboratory sections per week, each under
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science 1-2 years of experience Experience using Large Language Models to extract text-based information from datasets Experience with Python, SQL, C/C++, R, and programming languages Experience blending
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research experience to include: performing data manipulation and analysis of large datasets using R & SPSS; designing and programming databases using SQL, PowerBI, Python, and HTML CSS; programming
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Advanced experience with software tools such as Microsoft Office, OneDrive, SharePoint, etc. Experience managing and linking large data sets Ability to write clear and concise analytical summaries
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, and reassemble office furniture. Move large Dewar flasks such as liquid helium, nitrogen, or other gas mixtures. Transport stock and equipment. Operate motor vehicles such as vans, pick-ups, and single
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campus partners Demonstrated ability to work within a large system and effectively collaborate with staff in a large mental health agency Modes of Work Positions that are eligible for hybrid or mobile
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bioinformatics techniques to unify large and disparate data sets to develop realistic multiparameter models of tumor response and normal tissue injury; development and implementation of ?big data? and artificial
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faculty to enhance collaboration skills for large center proposals Guide faculty interactions with program managers to identify and refine funding opportunities Partnership and Engagement: Foster productive
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admissions data to streamline and optimize decision-making processes. The position requires excellent organizational skills, attention to detail, and the ability to manage multiple priorities and deadlines
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Apply Now How to Apply Interested individuals should submit a CV and the names and contact information of three to five references to: Annette Kim, MD, PhD, Division of Molecular and Genomic