195 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at University of Minnesota
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. Use independent judgment and problem solving skills to assist individual students in navigating the academic and curricular policies and procedures established by the University and College. 25% Program
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datasets. ●Provide consultation and troubleshooting support to faculty, trainees, and research staff. ●Evaluate and implement new technologies or methodologies relevant to the research program. Mentorship
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to general pulmonary and/or critical care and/or other Division and Department research projects. Clinical effort may be reduced with participation in salary-supported activities (research, program leadership
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opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible
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-supported activities (research, program leadership, etc). Active participation in the Division's clinical and research conferences, journal club and core curriculum lectures and teaching of students
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responsibilities for all University locations and activities. Please note that this position is not eligible for H-1B or Green Card sponsorship. This position does not offer a STEM OPT training program. General
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: $150,000-$160,000 (depending on experience) Please note, this position is not eligible for H-1B or Green Card sponsorship. This position does not offer a STEM OPT training program. The University
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generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans
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Program Low-cost medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and employer-paid life insurance Employee wellbeing
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an externally funded research program in an area of dairy and animal genetics. Potential areas for discovery include, but are not limited to, enhanced tools for genetic or genomic selection, phenotyping methods