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cross-functionally with control engineers, hardware designers, and system integrators to integrate real-time control algorithms and maintain a robust test bench environment for prototype evaluation
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on business logic and application requirements. Design and implement AI algorithms for battery/energy storage systems to improve the prediction accuracy and decision-making capabilities of the digital twin
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; Quantum Algorithms / Computation; Software Engineering; Programming Languages; Logic / Verification Responsibilities: Research: The appointee is responsible for undertaking high-quality innovative
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. The roles of this position include: Development of algorithms to improve memory/sample/time efficiency of LLM training. Development of a workable prototype system with capabilities such as conversational
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(Preferred) Stay informed about video marketing trends and experiment with new techniques to improve engagement Optimise video content for search engines and social media algorithms to maximise reach Manage
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Responsibilities: Undertake research on algorithms and data systems for next-generation data preparation and data cleaning for data analytics. Produce research papers, reports, and presentations as required by
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academic experience in one or more of the following, or closely related, areas: AI Ethics and Responsible AI Software Engineering Programming Fundamentals Algorithms and Problem Solving Software Design and
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of fairness, safety, and privacy in digital technologies. Key Responsibilities: Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working
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Machine Learning algorithms Experience in conducting neuroimaging studies in educational contexts Experience in working with databases. Responsibilities Liaise with stakeholders (E.g. participating schools
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of hardware design, cryptographic algorithms, and the RISC-V instruction set architecture (ISA). You will work closely with the AES and ASCON designers in our team to ensure seamless integration and optimal