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Field
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will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and human-computer
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for Humanity. What you would be doing: Research – As a part of the Dyson School of Design Engineering, you will actively develop and lead your own research programme, in line with our research themes and vision
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with the regulatory environment around Deep Learning or Machine Learning algorithms Experience applying quality system standards, software development standards and regulation, e.g. ISO 13485, IEC 62304
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Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data
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leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis of normative frameworks and aggregation rules, and
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programming, algorithm development, and mathematical modelling. C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent communication skills (oral and written), including
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developing new methods and techniques that will improve standard ML algorithms so as to achieve good performance outside their training distribution, by treating high-dimensional problems as an explicit
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lab. Key Responsibilities Main Duties: Develop teleoperation interface with a robotic manipulator to facilitate human-robot interaction in remote handling. Design robot impedance control algorithms
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. They will also contribute to outreach activities and be proactive in student recruitment activities. In addition, the successful candidate will contribute to research, enterprise development and knowledge
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at the interface between computational design and in vitro experiments, the team has developed multiple in silico and in vitro methods to design novel antibodies and nanobodies as therapeutic agents and research