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judgment in the setting of priorities, resolving problems and application of policies, procedures, and methods. Administrative 10%: Participation in nurse governance committee Participation in quality
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). Reference: BI/UTAD/14/2026 Scientific area/research field: Engineering Researcher profile: First Stage Researcher (R1) Admission requirements: Master's degree in Electrical Engineering, Computer Engineering
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-15100 Job Description Join our growing online Computer-Aided Drafting (CAD) and Mechanical Design program and help shape the next generation of design professionals. We're looking for two experienced
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/Required Qualifications KSA’s Working knowledge of computer applications and the ability to use computer for providing class presentation. Ability to communicate complex subjects in a clear and engaging way
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/Required Qualifications KSA’s Working knowledge of computer applications and the ability to use computer for providing class presentation. Ability to communicate complex subjects in a clear and engaging way
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of the supervisor. Equipment Operated: Computer and all other standard office equipment. Work Schedule: M-T-W-Th-F 4:00 p.m. - 12:30 a.m. Primary Location: Youngstown Supervision Exercised: May exercise supervision
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, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey, census, and non-traditional data sources such as web and satellite data
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 01-Apr-26 Location: Greenville, North Carolina Type: Full-time Categories: Academic/Faculty Computer/Information
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 13 days ago
conducted within the Ecology and Modelling for Fisheries (EMH) laboratory of the HALGO unit, part of the DECOD Joint Research Unit. Members of the laboratory develop knowledge and methods supporting
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cooperation with the Institute of Marine Research. The core of the position will be on development of new deep learning methods for segmentation/classification of data with limited and weak labels. Your may