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Field
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algorithms and program Building Automation System (BAS) computers in close coordination with the Director of Systems/Energy Engineering. Modify existing, and create new BAS object definitions, based on control
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all project deliverables are met. Undertake these responsibilities in the project: Conduct technology review of sensor technology Develop algorithms/models for engine health monitoring Develop prototype
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for the Future of Intelligence (CFI). The candidate will contribute to teaching and lead a research programme in one or more of the following areas: ethical use of machine learning, AI safety, algorithmic
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algorithms, bioinformatics, computer vision, human-computer interaction, machine learning, computer graphics and VR, cyber-physical systems, computer networking, and cybersecurity. Required materials include a
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the effectiveness of different courses of action using predictive algorithms. They assess the effectiveness and accuracy of new data sources and data gathering techniques. Data Scientist is an expert in
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advanced deep learning algorithms for generative modelling and large multimodal models. Candidates are expected to have a strong background in relevant areas Job Responsibilities: To independently undertake
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and AI applications. This includes ensuring compliance with federal, state, and institutional regulations, as well as industry best practices related to data privacy, algorithmic fairness, 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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active research interests in quantum computing, quantum algorithm/software development and applications in decarbonisation who can take full advantage of the unique opportunities the QDA provides
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expertise by developing an e-commerce website prototype with the developed algorithm embedded within the prototype, ensuring its full functionality and integration. Reports to: Project Lead Project name