539 computer-programmer-"https:"-"FEMTO-ST"-"Inserm" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Pittsburgh
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between clinic, laboratory, and office settings; extended periods of sitting or standing during study visits; and routine use of computers and research equipment. Occasional lifting or transport
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the University campus in order to attend meetings at various locations. Must be able to carry the weight equivalent of a laptop computer. The University of Pittsburgh is an equal opportunity employer / disability
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lead roles in the organization/planning of retreats, workshops, conferences, and teleconferences. Plan, organize, and coordinate the various details associated with hosting large meetings. Arranging
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to prioritize multiple tasks and work independent. Preference will be given to a candidate who has animal handling experience or background in biomedical research. Advanced computer skills are a plus. Physical
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Division) RANK/TITLE: Research Assistant Professor (appointment stream) 1. Scientific Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan
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and meetings. Extensive computer work. Minimal lifting when needed for events or in office. The University of Pittsburgh is an equal opportunity employer / disability / veteran. Assignment Category Full
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minimal waste. Dispenses supplies as needed. Must acquire familiarity with all materials in dispensary and apply sound inventory control practices, minimizing overstocking and waste. Must have computer
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Administrative Assistant UPCI Basic Research Administration - Pennsylvania-Pittsburgh - (26000965) This role will support the Associate Director of Research Operations and Shared Resource Management of the UPMC Hillman Cancer Center. Will also support office functions as well as specialized...
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: – Research Plan Presentation (early semester) – Progress Report (mid-semester) – Final Report (end semester) · Grade and provide detailed feedback for the RPP presentations as well as written
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Koenigshoff and Das labs. The Das lab has developed a range of interpretable machine learning approaches including SLIDE. This new position will focus on - i) applying machine learning and computational systems