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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any
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the ability to act on their own initiative, excellent quantitative skills, including programming (e.g., Matlab and R) for the design and analysis of experiments. Experience in using computational modelling
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supervise and train students and junior lab members and to ensure smooth functioning of an active research program. The candidate will have the opportunity to explore his/her own interests across functions
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develops innovative laboratory and computational methods for eDNA collection, processing, and analysis, and creates a comprehensive marine vertebrate genome reference library. Equipped with state-of-the-art
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Measures using advanced psychometric methods and publication and dissemination; Establishing an independent research programme derived from the current project; Providing support for other collaborative
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to the creation of knowledge in the field of early cognitive and social-emotional development, by undertaking a specified range of activities within an established research programme and/or specific research
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well as a PhD (or equivalent level 8 qualification) in AI, Data Science, Computer Science, Biomedical Engineering, or related field, or equivalent experience. Please view the job description and person
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, producing high‑quality publications, conference papers, and contributing to competitive funding applications · lead components of a broader program of research focused on AI‑enabled clinical decision
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(or an equivalent degree) in Civil Engineering, Built Environment, Material Science or related fields. • Experience in research for structural optimization is desirable. • Strong computational analysis skills