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Field
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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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computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and
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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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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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, with opportunities to lead analyses, develop new expertise and contribute to high-impact scientific publications, and must have: A PhD, or equivalent research experience, in computer sciences
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the Strategic Funding 2025-2026, under the following conditions: Scientific Area: Computer Science and Engineering, Computer and Information security Admission requirements: BSc (Licenciatura) degree in Computer
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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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Challenge grant. The successful candidate will work closely with the Principal Investigators (PIs) to develop and implement innovative research integrating machine learning, computer vision, and wildlife
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high-power laser plasma interaction and related areas. Demonstrate significant experience in experimental research using high-power lasers, Experience in using computer codes for data analysis