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inference), and automated machine learning. holding (or close to acquiring) a PhD degree in Computer Science, Artificial Intelligence or a closely related field; strong research vision and an academic mindset
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internationally recognised for excellence in Agricultural Sciences, Soil Science, and Environmental Science and Engineering. With strong PhD supervision capability, global research partnerships, and a track record
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, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a part
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). The researcher should have a PhD/DPhil in robotics, computer vision, machine learning or a closely related field. You have an excellent academic track record in topics relevant to robot perception. A specific
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Learning. The successful candidate will collaborate closely with colleagues at the Royal Holloway University of London, as well as research partners in Italy, France and Armenia. The role includes overseas
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Research Engineer or Postdoctoral Researcher (m/f/d) in the field of Engineering Physics or Material
engineering A completed Master’s degree or PhD in Engineering Physics, Materials Science, Engineering or a similar discipline The ability to work independently, a willingness to learn, and a team spirit Good
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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Postdoctoral Associate | Mitochondrial Genomics | Lake Lab — Yale University, Department of Genetics
networking activities via the Yale Postdoctoral Association and Yale Office for Career Strategy. Qualifications Candidates should have or be close to obtaining a PhD in genetics, mitochondrial biology
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
environments. To achieve this, novel alignment and editing techniques are required. Specifically, post-training with Reinforcement Learning (RL) presents a highly promising methodology to overcome
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lupus kidney disease (lupus nephritis) where current diagnostic and prognostic approaches are limited and show high interobserver variability. It is essential that you hold a PhD/DPhil (or close