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Field
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The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and
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, Digital Mammography, Digital Breast Tomosynthesis, PET, CT, X-ray equipment or related technologies artificial intelligence, machine learning, image analytics, computer vision or related computational
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or more programming languages for data analysis. • Experience working on clinical trials or behavioral research with human subjects. Equipment Use of personal computer and proficiency in software and
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities
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must have excellent interpersonal and organizational skills. The projects are conducted in the Brave Lab (https://liberalarts.du.edu/psychology/brave ) at the University of Denver. Given the number
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duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
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conducting user experience studies and quantitative performance evaluation Documented experience in the system performance evaluation of computer systems and networks for interactive applications, preferably
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collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate
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, electrical engineering, human-computer interaction, or other relevant fields. The applicant is required to document that the degree corresponds to the profile of the post. Grade average of B or better
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts