292 computer-"https:" "https:" "https:" "https:" "Dr" "UCL" positions at Stanford University
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desk-based computer tasks, lift, carry, push and pull objects weighing up to ten pounds. Occasionally stand, walk, grasp forcefully, use a telephone, write by hand and sort and file paperwork or parts
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of project researchers, investigators, and/or managers. This position will support the Immune Behavioral Health/ Pediatric Acute-onset Neuropsychiatric Syndrome (PANS) Research program. The ideal candidate
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continue until the position is filled. The position is available to begin immediately, with a preferred start date before April 1, 2026. How to Submit Application Materials: https://docs.google.com/forms/d/e
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, space booking, among other duties. This role will be key to providing the Student Services team administrative support, especially during program events and peak times (e.g. admissions, course scheduling
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. Demonstrated collaboration, communication, and writing skills. PHYSICAL REQUIREMENTS Constantly perform desk-based computer tasks. Frequent sitting. Occasionally stand/walk, reach/work above shoulders, grasp
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minimum of 12 months Appointment Start Date: Early/mid 2026 Group or Departmental Website: https://evodesign.org/ (link is external) How to Submit Application Materials: Please directly contact us at
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needed. Demonstrated ability to apply theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and
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Appointment Term: Initially 1 year, renewable Appointment Start Date: Start date is negotiable. Group or Departmental Website: https://www.huttenhainlab.com/ (link is external) How to Submit Application
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theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer
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developing pipelines for production-level biological data analysis in Python or R. Strong bioinformatics and/or computational biology experience, including machine learning, statistical analysis and data