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: Associate's Degree or Bachelor's Degree. Minimum Overall GPA: 2.70 Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17
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candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital preservation of cultural heritage. The project focuses on state-of-the-art
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of a team. Demonstration of understanding of Medical Terminology. Exceptional organizational and computer skills in Microsoft software applications. Ability to work with minimal supervision while
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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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immunology, including ELISA, flow cytometry, ELIspot Molecular biology expertise, including RNA extraction and RT-qPCR. High-level computer and database literacy skills, including the Microsoft Office suite
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) Advancement (5) Animal Science (5) Auxiliary Operations (5) Custodial Services (5) Design and Construction Mgmt (5) Electrical & Computer Engineer (5) Grad Health Professions in Med (5) Intercollegiate
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computer literacy with well-developed skills in Microsoft Office 365, research software and equivalent applications. For further information about the role, please contact Maree Withers – m.withers
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packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation
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, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open to fixed-term contract (renewable upon review