135 assistant-professor-computer-science-and-data Postdoctoral positions in United States
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, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health
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: Special Instructions to Applicants: Recruitment Contact Information: Samira Feyzi, Assistant Professor, sfeyzi@uark.edu All application materials must be uploaded to the University of Arkansas System Career
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by rigorous training on project management skills. They will have access to state-of-the-art computing for high-throughput data analysis and molecular profiling technology. Our lab has a great track
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-ARS Plant Science Research Unit & Adjunct Assistant Professor in the Department of Soil, Water and Climate) and will report to Tim Griffis (Professor in the Department of Soil, Water and Climate). Job
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/Official Transcript(s) Optional Documents: Special Instructions to Applicants: Recruitment Contact Information: Mahfuz Rahman, Assistant Professor, mahfuz@uark.edu All application materials must be uploaded
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support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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management, and active participation in grant applications. There is potential for promotion to Research Assistant Professor. Huntsman Cancer Institute is committed to cancer prevention, care, and survivorship
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include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, income-based child care subsidy, tuition
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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data