266 computer-"https:" "https:" "https:" "https:" "UNIV" positions at Stanford University
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, to ensure program and facility compliance with the USDA Animal Welfare Act and National Institutes of Health Guide for the Care and Use of Laboratory Animals. Provide ongoing training, education, and
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. Strong interpersonal and telephone communication skills. Demonstrated computer proficiency. Data entry experience. Must be able to understand and apply policies, procedures and protocols of the university
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computer, use a telephone, and grasp lightly/fine manipulation. Occasionally twist/bend/stoop/squat, reach/work above shoulders, grasp forcefully, lift/carry/push/pull objects that weigh up to 20 pounds
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option for extension Appointment Start Date: start date flexible / rolling Group or Departmental Website: http://cfna.stanford.edu (link is external) How to Submit Application Materials: Email: weigu
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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
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, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will
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inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level
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Date: As soon as possible Group or Departmental Website: https://naturalcapitalproject.stanford.edu/ (link is external) How to Submit Application Materials: Send an email with your attachments
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, and Climate Energy Ventures). We are also currently exploring new initiatives and an alumni energy engagement program, with other new programs in the works. A new focus is to establish a team of
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and transplantation and to translate this knowledge into improved treatments. Required Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics