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Field
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Computing (HPC) environments Prototype using emerging computer vision frameworks, applied machine learning techniques, and medical imaging standards Develop user-friendly front-end interfaces, web dashboards
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methods for improving imaging resolution. - Developing and testing machine learning methods aimed at improving the quality of images obtained using quantum optical coherence tomography. - Developing
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, and computer skills Ability to lift 100 lbs. and be able to push, pull, carry, stretch, and reach on a regular basis. Excellent communication skills and strong attention to detail Must possess a NYS CDL
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computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving, lifting
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to: stand or walk with, push and/or pull, objects up to or over 50 lbs.; regularly sit at a computer workstation for extended periods of time while performing tasks with repetitive motions (such as typing
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job details https://www.agh.edu.pl/o-agh/praca-w-agh Work Location(s) Number of offers available1Company/InstituteAGH University of Krakow, Faculty of Computer ScienceCountryPolandState
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Life Support certification via AHA within 90 days of hire Physical Requirements The physical requirements for this position include regularly sitting at computer workstation for extended periods
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of these approaches quickly, in a data-based and reliable manner. Your main tasks include: Method development: you compare and decide on methods of Machine Learning (ML) and Artificial Intelligence (AI), such as
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computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving, lifting
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computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving, lifting