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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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construct novel CAR-T cell therapies, including vector design, gene editing, and the development of innovative receptor constructs. In Vitro and In Vivo Studies: Conduct a wide range of experiments to assess
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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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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 7 hours ago
experience in optimization, machine learning, control systems, or robotics is desirable. No other specific qualifications beyond and a willingness to learn within an interdisciplinary team. If you have any
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of Philosophy (MDPhD) Temporal Transcriptomics and Epigenetic Changes in Sepsis Survivors Alex Lukey Doctor of Philosophy in Population and Public Health (PhD) Preventing ovarian cancer: Human vs. machine
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View All Awards Deadline Likely in September 2025 Value $18,000/year for two years Citizenship Canadian Permanent Resident International Degree Level Doctoral The Canadian Institute for Military and
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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control subjects based on diffusion MRI images and functional MRI responses. Duties include: Developing machine-learning and/or deep learning pipelines for classifying patients of optic neuropathies and
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of transmission electron microscopes and/or scanning electron microscopes Knowledge of artificial intelligence and machine learning and their applications in electron microscopy Knowledge of computer programming
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Interdisciplinary Studies (PhD) The sustainability of the outer space environment Ismália De Sousa Doctor of Philosophy in Nursing (PhD) Towards equitable stroke care: learning from young women's experiences Abhinav