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-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus
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at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering
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development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The AI, Learning and Intelligent Systems (ALIS) Group in the NLR Computational
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learning to support early detection and prioritisation of patients at risk of vision loss. The role involves leading PPIE activities to ensure that patient perspectives and lived experiences shape the design
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University of California, San Francisco | San Francisco, California | United States | about 7 hours ago
and research staff support the work of 94 full-time faculty and 50+ part-time attending physicians, a residency program, fellowship programs and over 300 housestaff and students each year. Our vision
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(Biomedical Engineering or related field). Experience with machine learning, computer vision, and data science tools. At least 2 years of experience developing applications with Python and Java. At least 2
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(outside of a Masters or PhD program), post-doctoral research, visiting fellowships or any other research appointments are not eligible. Scholarships are only granted to students commencing or continuing in
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for epidemiology that can be applied at the population level and also at the molecular and cellular level for biological applications. Qualifications ● Graduated with an MS degree in Computer Science, Mathematics
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excellence of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: Under the guidance of a mentor, the
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enrolled as a full-time student in a bachelor’s degree program from an accredited institution. Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of