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. AutoTraits is tackling a major bottleneck in crop development: slow, costly manual phenotyping. By combining cutting-edge algorithms with flexible, hardware-agnostic data capture, the project enables breeders
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, develop curricula and provide leadership contributions. You will have a proven track record of research outcomes in media and communication. Working in a research-based context, you will create innovative
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time on a 2-year Knowledge Transfer Partnership (KTP) to develop innovative AI-led plug-ins and interventions, and to transform the Business Computer Projects Accord warehouse management system (WMS
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Based at: Business Computer Projects, Stockport The role: An exciting opportunity has become available for a graduate to work full-time on a 2-year Knowledge Transfer Partnership (KTP) to develop
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Tiny Machine Learning (TinyML). The role will focus on the design and development of battery‑less, ultra‑low‑power IoT systems capable of executing secure TinyML‑based visual perception algorithms
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breeding programmes. AutoTraits is tackling a major bottleneck in crop development: slow, costly manual phenotyping. By combining cutting-edge algorithms with flexible, hardware-agnostic data capture
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-or-leave decisions, but how we make them is not well understood. The goal of this project is to find out if there is common cross-species decision algorithm for leaving and what that algorithm is. You will
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management systems (BMS). Ability to develop and implement algorithms for modelling, estimation, or control applications. Strong analytical thinking, problem-solving ability, and capability to conduct
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, Purpose of the Job We are looking for one Research Associate to work on the development, implementation and testing of predictive control algorithms for the optimal coordination of available multi-energy
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for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing simulations of complete detectors and