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encourage research that combines socio-technical perspectives with quantitative methods, such as learning analytics (from e.g. click-stream data, eye tracking, screen capture etc.), surveys, or other large
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on-campus and external partners. Qualifications Required Qualifications : Doctoral level degree in Economics, Bioinformatics, Biostatistics, or related quantitative analytical field is required. Excellent
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for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD). Create innovative tools and solutions to extract deeper
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the development and validation of the common data model and the data integration platform for use in healthcare research. Ensure analytical methodologies are robust, reproducible, and compliant with relevant
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annually accrue 3 weeks of paid vacation, 12 sick days, and 10 holidays. Skills / Knowledge / Abilities Knowledge of physical and psychological development. Excellent analytical and decision making skills
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. Key Responsibilities Plan, design, and implement independent research projects within a collaborative, multidisciplinary program Acquire and apply expertise in vitro reconstitution, live-cell imaging
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
contexts. Design and execute evaluation studies (analytical and/or user-centered) to assess interpretability, robustness, and usability of proposed symbology. Contribute to related research in nautical
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algorithms, deep learning, and data analytics. Hands-on experience in developing and deploying ML infrastructure, with expertise in PyTorch, or TensorFlow. Deep understanding of systems engineering with a
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external partners, you will contribute to the production of high-quality analytical outputs and publish results in leading journals. The postholder will have substantial ownership over one or more core
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committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff