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The logic and learning (LOL) group is recruiting a PhD student funded by ELLIS institute Finland. You will work with Associate Professor Andrew Cropper . We work on combining logical reasoning and
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of A/Prof Patrick Burr, please visit https://www.patrickburr.com/group At UNSW, you will join a vibrant materials research community within the School of Mechanical and Manufacturing Engineering and the
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. Interested applicants should apply to the position on the Duke Employment site (https://home.careers.duke.edu ) and send a cover letter, CV and references to: Randy Grimes Radiation Physics Division
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and undergraduate level and may require a combination of classroom, hybrid, and online courses. This position will be located at the TAMU-CC campus in Corpus Christi, Texas. Accredited in both business
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seeks to enhance its innovative curriculum, which combines experiential learning with rigorous analytical training and interdisciplinarity. The search committee is especially interested in qualified
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) professional references is required to apply. Important Instructions: When prompted to upload your “resume”, upload your combined documents as one file. Please do not upload documents to “Cover Letter” or
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QUALIFICATIONS Bachelor’s degree in a relevant field and 2 to 3 years of experience in food and agriculture, or an equivalent combination of education, training, and experience. Experience delivering farm
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– Life Sciences & Biotechnology Center, Materials Science & Engineering Center and Center for Population Diagnostics, with access to specialized core laboratories – a combination, which allows to carry
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position combines direct patient care and teaching in an integrated learning environment. You will be joining a well-established, experienced and highly cohesive 77-member clinical faculty and 20-member
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 4 days ago
rigorously evaluate new methodological frameworks that combine differential privacy and fairness-aware learning for real-world ML applications. - Explore decentralized learning scenarios, including federated