51 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions at University of Michigan
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for a postdoctoral researcher in computational design and digital fabrication. Reporting to Tsz Yan Ng, associate professor of architecture, you will work on robotic 3D printing processes such as concrete
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* Experience with image analysis or medical imaging Established record of peer-reviewed scientific publication Prior experience / comfort with computer programming is a plus Modes of Work Positions that
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comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world?s most distinguished academic health
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
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computational molecular docking software would also be beneficial. The candidate is expected to be a good team player and have excellent oral and written communication skills. Mission Statement Michigan Medicine
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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and Machine Learning tools and algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability
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program for up to two years in which they will acquire core skills in research methods including analytic skill development, grant and manuscript writing, and project management through a combination of
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coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Working alongside with wet-bench scientists and PhD candidate (both with and without computational experience