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processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed
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available from 1.1.2026 to 31.12.2028. The position This role offers a unique opportunity to apply and integrate advanced image processing techniques to progress the fields of biomedical and life sciences
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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processing (computer vision & machine learning) Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578 Requirements Research FieldEngineering » OtherEducation LevelMaster Degree
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frequently change. Certificates/Credentials/Licenses n/a Computer Skills Proficiency with Microsoft Office Suite required. Familiarity with PeopleSoft/Oracle, Navigate, PowerBI, document imaging software, and
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research Group at https://www.it.pt/PIA-Lx Who can apply and how Any national, foreign, and stateless candidate(s), holding a PhD in Electrical Engineering, Computer Science and the above specified
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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the State Board of Social Work. Required Knowledge, Skills, and Abilities Preferred Qualifications Equipment Utilized Computer knowledge Physical Demands and Work Environment Physical Demands: Ability
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quality, diversity, and biological relevance using standard metrics and expert review. Anonymised digital images from tissues in biobanks will be used to train generative models on university computing
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Ph.D. degrees. The Department has research strengths in data mining, databases, graphics, image and video computing, machine learning, natural language processing, networking, distributed systems