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, seminars, and workshops. Translate findings for diverse audiences while maintaining scientific rigor. Qualifications: PhD in artificial intelligence, machine learning, cardiovascular medicine, genomics, or a
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eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC
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learning, offers powerful solutions to automate these tasks and provide reliable real-time information. This doctoral project is part of a 5-year research chair on Computer vision applied to the swine sector
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Primary Purpose: The Department of Sociology in the College of Arts and Science and the Gwenna Moss Centre for Teaching and Learning invite applications for an Online Facilitator to instruct SOC
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University of Montreal-CHU Sainte Justine Children's Hospital Research Center | Canada | about 1 month ago
Project OverviewSpeech and language disorders affect millions of children worldwide, limiting communication and quality of life. This PhD project will explore the use of Reinforcement Learning (RL
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on their potential and demonstrated skills in teaching and research. The candidates should have a solid background or experience in multi-omics data analysis, including, for example, machine learning. Additionally
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initiatives, or with programming language experience and experience in machine learning and health informatics. An Understanding of the digital health space, is expected but not essential. Good Communication
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engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
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, harvest and store clinical data and methods used to create predictive models (including but not limited to methods associated with machine learning). Furthermore, issues related to delivery of predictive
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field. Demonstrated experience with single-cell and/or spatial transcriptomic analysis (Scanpy, Seurat, Squidpy, etc.). Strong programming proficiency in Python and R; experience with machine-learning