328 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at Stanford University
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Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Natural Capital Project seeks candidates to support a research program aimed at the implementation and scaling of natural capital approaches within
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based on performance and funding). Appointment Start Date: Flexible Group or Departmental Website: https://med.stanford.edu/neurology.html (link is external) How to Submit Application Materials: Please
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or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the
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additional special nitrogen-facing projects as directed by the Managing Director . Manage GLAM’s participation in the Stanford Science Fellows program, involving account and labor schedule set-ups, quarterly
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
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REQUIRED: • Comprehensive understanding of scientific principles • Expert level knowledge and skills in field of science related to research project • General computer skills
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*: · Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. · Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift
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REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand
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. · Ability to prioritize workload. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS*: · Sitting in place at computer for long periods of time with extensive keyboarding/dexterity
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research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key