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sensitivity analyses across pathology severity, body morphology, camera viewpoint, and environmental conditions Develop a single-camera, home-based markerless system Test the algorithm across lab and home
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: Strong skills in developing biosignal processing algorithms and implementing machine learning models for data interpretation. Technical Oversight: Ability to monitor complex data collection processes and
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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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of the University of Beira Interior (https://rise-health.pt/home_en/ ), under the following conditions: Research Field: Biomedical Sciences (Human Genetics) Objectives: The GenoPit Plus project aims to develop and
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the development of University of Nottingham Ningbo China research agenda. Your Responsibility Your key responsibilities include: To formulate and articulate research objectives, alongside developing proposals
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the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound structural and functional imaging. Support experimental setup, data collection, phantom
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have
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of the University of Beira Interior (https://rise-health.pt/home_en/ ), under the following conditions: Research Field: Biomedical Sciences (Human Genetics) Objectives: The GenoPit Plus project aims to develop and
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: Accelerating Real World Data-driven Precision Oncology through Data Science and Informatics Excellence in Research: https://cprit.texas.gov/grants-funded/grants/rr230020 · POI-KB: Design and Development
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the molecular biology of aging and neurodegenerative diseases. Engage in the development and testing/validation of new algorithms and their applications to transcriptomic, epigenomic, genetic, and proteomic data