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REQUIREMENTS The Department of Electrical Engineering is seeking applicants for a part-time researcher position. Job duties to include: Performing Neuromorphic Algorithms Assisting graduate students
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(NeoShield Clinical Decision Support Algorithm). Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term for 24 months, with potential
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(NeoShield Clinical Decision Support Algorithm). Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term for 24 months, with potential
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Kishita (University of East Anglia) and Prof Kathryn Almack (University of Hertfordshire). This post is co-funded by the ASCENT programme, and the Norfolk County Council, and targets research capacity
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. This position will work with our partners Praetorian Aeronautics and their testing team
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Research Institute’s ESRC and EPSRC. The pathway is seeking to develop expertise in researching human behaviour, combining advanced quantitative and digital analytical methods, applied to data generated
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The Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences | Poland | 3 months ago
Systems Group. The selected candidate will conduct research focused on the development of physics-inspired algorithms, quantum computing using tensor and neural networks. The position does not include
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the execution of the following tasks related to modelling the incineration process of the pilot units, with the following main objectives: - development of evolving algorithms based on Machine Learning
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manufacturing that appeals to a large percentage of the US market. Building designs that co-optimize the interests of the community, building owners, developers, and environment. This position will be associated
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/or community sociology. The successful candidate will contribute to an interdisciplinary collaboration focused on developing innovative and efficient technologies for biomaterials derived from regional