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: Introduction to Computing with Python BIOE 104: Biotransport Phenomena ENGR: 080: Stat Model Data Analysis Other courses as needed See catalog for course descriptions A Learning Assistant works with groups
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Maintain detailed records of results and prepares written reports acceptable to the Principal Investigator and funding agencies Other duties as assigned Unit URL https://uiexperimentalforest.org/ Position
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for the below courses for Summer 2026: BIOE 002: Fund Molecular Biology BIOE 021: Introduction to Computing with Python BIOE 104: Biotransport Phenomena ENGR: 080: Stat Model Data Analysis Other courses as needed
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to institutional workflows by leveraging expertise in Python, Azure AI Foundry, and machine learning to build scalable, user-centric AI applications. The developer collaborates with cross-functional teams
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Posting Summary Logo Posting Number RTF00041PO26 USC Market Title Sr. Research Associate Link to USC Market Title https://uscjobs.sc.edu/titles/169217 Business Title (Internal Title) MCH Health Care
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Studies on Air Pollution and Health group (https://www.hsph.harvard.edu/nsaph/). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun, in Biostatistics. Job
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programming (e.g. Julia/JuMP, Python/Pyomo, AMPL, MATLAB, GAMS). What you will do Take courses at an advanced level within the Graduate school of Energy, Environment and Systems Develop your own scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
combination of education and/or experience. Preferred Qualifications, Competencies, and Experience - Demonstrated professional experience in software engineering and web development, including Python, SQL
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of Technology, the Netherlands. For a complete list of available positions, please visit the network’s website http://www.secresy4you.eu . Information We invite highly motivated students with a strong background
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of cancer research on the Mission Bay campus at UCSF! Research in the Oldham lab (https://oldhamlab.ucsf.edu ) focuses on understanding the cellular and molecular organization of the developing and adult