222 processor-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions
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be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
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Job Description The Department of Electrical and Computer Engineering (ECE), College of Design and Engineering, is seeking a Research Fellow to lead the process development and device fabrication
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an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
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effective? The project is aimed at technical innovations in computational physics and computer vision (sensing, camera calibration, depth estimation, tracking and visualisation) to enable real-time tissue
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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). Degree must have been received within the past five years. Preferred skills: Knowledge in biology, physiology, pharmacy and pharmacology; computer database skills, and data management skills. Proficiency
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outside the life sciences (e.g., in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in the life sciences before. Both fellowships provide three years of salary and
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. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office
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computer programming Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research Strong written and verbal communication skills We regret to inform that only
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, data loggers, basic computer software / programming, electronics and laboratory testing. Applicants are invited to contact Prof. Ben Shao-Yuan Leu at telephone number 3400 8322 or via email at syleu