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quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
-tier machine learning and computer vision venues, actively participating in departmental seminars, and contributing to collaborative projects. Where to apply Website https://jobs.inria.fr/public/classic
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chemistry-related department in New Zealand, with over 30 permanent academic staff and over 150 PhD students. The School has a very strong international reputation in research, with collaborations spanning
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the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will
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technical operations as well as perform research for the university. Minimum Education and Experience A minimum of a PhD in a field directly related to research and a minimum of two years of experience
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, the Postdoctoral Researcher will drive research at the intersection of health data science, multimodal AI, digital twins, computational phenotyping, and responsible AI. PhD must have been received within the last
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We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy
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cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will advance our understanding
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Number req26751 Department Pharmacology and Toxicology Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacology-toxicology-department Location Tucson Campus Address
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will possess a PhD in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or a closely related discipline before their appointment start date at Penn