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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
, state of the art imaging technology, and translational research centers, including the Imaging Center for Intelligence (Ci2). Required Qualifications Bachelor’s degree in computer / computational / data
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Flexibility policy. Required Qualifications The research area is open, but training in modern and contemporary Japanese literature and media is required. Candidates with a PhD in hand in Japanese, comparative
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should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired
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fields: Material Science, thermal simulation, Metallurgy, Solidification of alloys,... School - Location: Centrale Lille Institute Laboratory: LaMcube Web site: http://lamcube.univ-lille.fr/ Name of
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that developments are well understood and embedded. To apply electrical/electronic design skills to create a prototype including circuit analysis, computer aided design and complex simulation tools, e.g. MATLAB/SPICE
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. Duties/Responsibilities: 30% Lead multi wavelength analysis of solar flares, especially high-energy aspects using hard X-rays, gamma rays, and/or radio data, using Python software and performing imaging
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Entitlement: 33 days annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
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for this position. More About This Job Preferred Qualifications: Familiar with genomics assays and their computational pipelines, image processing (segmentation, spot calling, drift correction). Exceptional
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-to-date taxonomic expertise and exposure to innovative and automated image processing and morphometric techniques, as well as fossil identification involving Artificial Intelligence. A pilot study will be
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data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer/data science and the life sciences. Applicants must hold a Ph.D. in Engineering, Computer