616 computer-programmer-"Multiple"-"Prof"-"U"-"O.P"-"FEMTO-ST-institute" positions at University of Virginia
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six months of employment Employee wellness program featuring activities to earn up to $500/year. The anticipated salary range is $60,000-70,000 commensurate with qualifications and experience
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can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration. Internal applicants: Apply through your
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addition to the above job responsibilities, other duties may be assigned. MINIMUM REQUIREMENTS Education: Graduate of an accredited nursing program required. Bachelor of Science in Nursing required within 5 years of hire
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: Graduate of an accredited graduate school of nursing or physician assistant program with a master’s degree. Experience: Department and unit specific. Licensure: License or license eligible as an Advance
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REQUIREMENTS Education: Master of Science in Nursing from accredited nursing program or eligible to practice as a CRNA in the Commonwealth of Virginia. Experience: No experience required Licensure: Licensed
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to handle multiple assignments, self-motivation and eagerness to acquire new skills. Preference will be given to candidates with a background in Virology and/or Molecular Biology, and experience with tissue
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procedures, strong communication and organizational skills, a professional manner, and the ability to manage multiple responsibilities while paying attention to detail. Strong computer skills and proficiency
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assigned. MINIMUM REQUIREMENTS Education: Graduate of an accredited nursing program required. Bachelor of Science in Nursing required within 5 years of hire. Experience: 1 year of relevant experience
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generated by nursing research. In addition to the above job responsibilities, other duties may be assigned. MINIMUM REQUIREMENTS Education: Graduate of an accredited nursing program required. Bachelor
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of bioinformatics and computational biology. The lab’s research program focuses on developing computational methods for high-throughput genomics technologies and integrating data science and experimental approaches