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23 Mar 2026 Job Information Organisation/Company Kungliga Tekniska högskolan Department Decision and control system (DCS) Research Field Engineering » Electrical engineering Researcher Profile First
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, multidisciplinary approach to robot design and control, and the development of novel robotic components and technologies for applications in medical, surgical and rehabilitation robotics, exoskeletons and force
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also participates in quality control, continuous quality improvement activities, inventory control, professional development, and continuing education within the area. The MLT-Processor positions
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technologist and director. Handles phone inquiries regarding patient results and specimen collection. The Medical Technologist will participate in quality control, quality assurance and general laboratory duties
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such certifications; and Experience working in higher education. Instructions to Applicants: For full consideration, applicants must apply for the Access Control and IT Technician at https://jobs.gmu.edu/. Complete
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/Information System/Other business related disciplines. Good command of written and spoken English, Mandarin/Cantonese. Familiarity with teaching, ability to work independently, willingness to help and active
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, tracking of patients longitudinally through therapy, date entry and submission. Assisting with data quality control; scheduling and conducting monitoring visits and query resolution; participant screening
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position scope of responsibilities includes; sales, merchandise displays, cash management, personnel, scheduling special events, customer service and inventory control. Serves as a liaison to Hospital Staff
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 21 hours ago
provided by the end of the application deadline). 1 years’ experience working with small animals. Practical experience in small animal medicine. Very good command of German (C1). Good command of English
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and measurement noise. • Developing predictive control strategies based on reinforcement learning or hybrid approaches compatible with real-time adaptive optics constraints. • Proposing and