681 programming-"the"-"DAAD"-"U"-"Prof"-"UCL"-"FEMTO-ST" positions at University of Virginia
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meetings, and programs. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here
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expected to provide formal guidance to students or otherwise participate in the instructional program. Like all professional staff, Research Scientists are principally engaged in research and appointed
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occasionally require traveling some distance to attend meetings and programs Salary Range The anticipated hiring range is $25.00–$28.00, commensurate with education and experience Position Type & Work Location
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to department standards with minor variation; caliber and quality reflect competency. Patient and family goals are integrated to care plan and documented in the medical record. Personal documentation reflects
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an accredited nursing BSN/MSN program that will be completed within 5 years of hire. Experience: RN Clinician 2 or higher who has been employed on the unit for 6 months or has had previous Charge Nurse experience
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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. Licensure: Licensed
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acquisition and reconstruction—particularly diffusion or dynamic imaging—is highly desirable, along with strong programming abilities in languages such as Python or MATLAB. Experience with pulse sequence
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research programs. The incumbent will also be expected to attend and participate in laboratory meetings and CIC-related seminars, as well as work with graduate students, technicians, fellows, and
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occasionally require traveling some distance to attend meetings, and programs. The anticipated salary is $68,000, commensurate with education and experience. This is an exempt-level, benefited position. Learn
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; proficiency in computer programming such as MATLAB, R, or Python (this requirement could be changed from proficiency to familiarity if the suite of experimental skills are specifically strong and relevant