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Field
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, multimodal or multimedia systems. Directly relevant areas are preferable Documented knowledge in machine learning methods, especially hands-on experience with time series data Documented hands-on programming
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-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems. Prepare and draft technical reports, conference/journal papers, and
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days of vacation per calendar year, 12 days of personal/sick time Paid Holidays and Special Days Off: https://www.bowdoin.edu/hr/our-workplace/college-holidays-and-special-days-off.html Paid Parental
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Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
& Medicine. This is an exceptional opportunity for a talented and ambitious researcher to build an independent, high-impact research program at the intersection of machine learning and healthcare
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imaging science or related field or an equivalent qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video
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that are only partially met by the development of special purpose classical computing units. This has motivated a recent interest in using quantum computing to machine learning tasks, in particular to clustering
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/, or Prof. Ong's website at https://cascoglab.psy.utexas.edu/desmond. This position is a for a fixed-term of one year. Purpose The Computational Affective and Social Cognition Lab (CASCogLab) in
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, you will work with fellow academics and professional services colleagues on the design, coordination, and evaluation of integrated knowledge-mobilisation activities, ensuring that insights generated
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quantitative methods for evaluating system and user behaviour. Join a growing portfolio of projects in artificial intelligence, natural language processing, and machine learning. These projects build