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Project title: Developing and Evaluating Interpretable Approaches for Human-Centered Machine Learning.Project description: Approaches in interpretable machine learning offer promise in understanding
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of Machine Learning and Statistical Data Processing. Candidates with expertise and a strong research interest in the following areas are highly encouraged to apply: Machine learning, Statistical data
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Applications are sought for Ad Astra Fellow - Assistant Professor in Foundational Technologies and Models for Artificial Intelligence (AI) and Machine Learning (ML) within the College of Science
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tools such as LTSpice (preferred)/TINA/Multisim. Knowledge of low-power biopotential amplifier design and energy harvesting techniques is preferred. Candidates with machine learning skills, particularly
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14 Feb 2025 Job Information Organisation/Company University of Galway Research Field Engineering » Civil engineering Researcher Profile Recognised Researcher (R2) Positions Bachelor Positions Country Ireland Application Deadline 28 Feb 2025 - 17:00 (Europe/London) Type of Contract Temporary Job...
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, multivariate statistics and machine learning (ML). Our lab has accumulated several large published and unpublished microbiome datasets from various body sites, including longitudinally collected samples
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instructor. An ability to teach modules in research design, quantitative research methods, machine learning and quantitative text analysis at both undergraduate and postgraduate level is highly desirable
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Professor / Full Professor of Advanced Manufacturing, School of Mechanical and Materials Engineering
/machining processes, artificial intelligence/machine learning/data science in the manufacturing environment. The successful candidate should be recognised internationally for their research and teaching
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involves careful review and systematic labelling of large volumes of rugby footage to support Machine Learning applications and performance analysis. This hands-on role is particularly suited to applicants
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require innovative study designs and state-of-the methodology, including next-generation sequencing, metagenomics, multivariate statistics and machine learning (ML). Our lab has accumulated several