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the long-term care home sector. Responsibilities will include: Conduct data collection and analysis of qualitative research, including photovoice, interviews, and focus groups, related to climate impacts
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the following fields: Computer Architecture Algorithms and Optimization Health Research Human-Computer Interaction Machine Learning and ML Foundations Machine Perception Natural Language Processing (including
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. This is an exciting and unique opportunity for a motivated researcher to be able to work closely with a technician under their supervision to generate state-of-the-art single cell genomics data, and apply
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recovery. Oversee the collection, processing, and analysis of physiological data from recreational and elite athletes across various exercise protocols. Utilizing machine learning and deep learning
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to study design, data collection, analysis, and the development of interventions aimed at reducing sleep disparities. Key Responsibilities: Conducting and analyzing research on sleep health equity Leading
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health and access to sleep-related resources. The successful candidate will contribute to study design, data collection, analysis, and the development of interventions aimed at reducing sleep disparities
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. The successful candidate will contribute to study design, data collection, analysis, and the development of interventions aimed at reducing sleep disparities. Key Responsibilities: Conducting and analyzing
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provides accurate, high throughput data, ideal for identifying single nucleotide variants, expression profiling, and performing bulk analyses. These and related technologies are positioned to transform our
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with strong background in Computer Vision and Machine Learning. Position Overview: In this position, you will investigate the existing solutions for assessing datasets and developing a novel tool relying
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increasing disturbances, such as wildfire and climate change. By integrating field research, remote sensing, and operational forestry insights, this project will generate data-driven tools and practical