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-centric machine-learning frameworks for large-scale sequence-structure analysis and functional prediction. The role involves designing, implementing, and benchmarking computational models; developing and
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schemes and a number of health and wellbeing initiatives to support you. Closing Date: 23 January 2026 The Role Are you interested in applying machine learning and computational methods to address real
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) have strong knowledge of and background in electromagnetic device design, power electronics and machine learning; (c) have hands-on experience in electrical and electronic engineering; (d) have
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project focusing on longitudinal data analysis using advanced data science, including using computer software R and/or SAS experience data analysis utilizing AI/machine learning techniques using R (R is
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Sensing, or related field Experience in atmospheric modeling, satellite remote sensing, or machine learning Programming skills (Python or R) Strong publication record
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machine learning, spatial audio & audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate generative audio AI technology for production
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peer-reviewed journals and/or top-tier conferences. Knowledge & Skills: Strong foundation in machine learning, deep learning, and algorithm development. Proficiency in scientific programming (e.g
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the area of efficient and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design
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Research Assistant contributes to Dr. Prisman’s research lab in head and neck reconstruction technology by researching and developing machine learning modules and other software tools to improve
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-inspired learning algorithms for efficient, robust and scalable pattern recognition; (b) assist in general management of the project; and (c) perform any other duties as assigned by the project leader