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RN - New Graduate Registered Nurse - Post Anesthesia Care (PACU) - Multiple Shifts - (UAB0019B) Description Compensation : Pay Range: $28.38 - $46.17 / hour - Benefits available for eligible
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account may cause delays in a hire process. Department: School of International Service Time Type: Part time FLSA Status: Non-Exempt Job Description: Summary: The Office of Career Development in the School
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at FIU to uplift and accelerate learner success in a global city by focusing in the areas of environment, health, innovation, and justice. Today, FIU has two campuses and multiple centers. FIU serves a
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in the Department of Psychology at City St George’s, University of London. The role supports a major UK Ministry of Defence (MOD)-funded research programme that seeks to develop and implement
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, and to bring together China and the West. The Department of Mathematics in CUHK has developed a strong reputation in teaching and research. Many of the faculty members are internationally renowned and
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work across multiple units, and effective synthesis and development of information. The ideal candidate thrives in a fast-paced, dynamic environment, with quick turnaround times, working in a large
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to detail and accuracy Laboratory maintenance and development experience Excellent oral and written communication skills Excellent organizational skills including ability to manage multiple tasks Demonstrated
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can use the Benefits Calculator to learn more about the full value of the benefits provided at OSU. Key Responsibilities 75% Develop, implement, and test new algorithms and tools for agricultural water
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) Max Hourly Rate $21.50 (Standard); $19.50 (Non-Urban); $22.00 (Portland Metro) Position Summary This recruitment will be used to fill multiple part-time (a maximum of 20 hours per week) Student
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
. Duties/Responsibilities Analysis (50%) Develop machine learning algorithms to analyze ground magnetic field perturbations Analyze the results using machine learning interpretability techniques