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the Kornberg School of Dentistry for Temple University is seeking a part time (20 hours per week) Research Assistant who is highly motivated with strong expertise in big data analytics, machine learning, and
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development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer to partners outside
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equations (2) molecular dynamics calculations (3) analysis of physical phenomena by machine learning As soon as possible after March 1, 2026 (negotiable) Where to apply Website https://jrecin.jst.go.jp/seek
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their field of view, guided by their gaze. The success of this project will be critically dependent on the contributions of a researcher with expertise in human and machine vision. Qualifications The ideal
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expertise in artificial intelligence (AI), machine learning (ML), and data science. The position will be a part of the Walk Tall research team based at BC Children’s Hospital. The Postdoctoral Fellow will
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Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau | Landau in der Pfalz, Rheinland Pfalz | Germany | 1 day ago
to develop the research of the position holder into adjacent areas such as computer science, artificial intelligence, or machine learning. Existing or planned involvement in at least one of these areas until
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, applied social science, data science, or related field. 4+ years of progressive experience in computational social science, including data capture, cleaning, analysis, machine learning, NLP, and database
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, France [map ] Subject Area: Machine Learning / Machine Learning Appl Deadline: 2025/12/12 11:59PM ** (posted 2025/10/21, listed until 2026/04/21) Position Description: Apply *** the listing date
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manufacturing and processing industries. Students practice the art of traditional machining while learning the applications of computers, including computer-integrated machining, computer aided design and
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Preferred Qualifications Additional Preferred Qualifications In-depth knowledge working with auxiliary service operations at an institution of higher learning preferred In-depth knowledge in supporting point