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floor to above shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous working with materials
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area. You will possess sufficient specialist knowledge in the discipline of neurodiversity to work within established research programmes. An experience in engaging in Human-Computer Interaction (HCI) based
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Completed PhD in organizational behavior, human-computer interaction, psychology, computer science or related disciplines with experiences related to human-AI interaction. KEY RESPONSIBILITIES
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 30 days ago
/classic/en/offres/2026-09790 Requirements Skills/Qualifications The applicant should hold a PhD degree in computer science, physics, mathematics, or a related field and have an excellent track record
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, or computer programming is a plus Technical skills (e.g., Python, R, Unix) are also highly desired but not required Prior experience managing teams of people and/or an interest in psychological and
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and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists. Contribute to open-source code, reproducible
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disseminate research results and data in peer-reviewed publications as well as presentations at international conferences. Required Qualifications: Education/Training- PhD in Electrical and Computer Engineering
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
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-time PCR; Experience in aptamer selection methods; Curricular experience with laboratory practice and/or evidence of professional experience in the field; Basic computer skills from a user perspective
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environment consisting of mathematicians, computational and computer scientists, and domain scientists conducting basic and applied research in support of ORNL’s mission. Specific responsibilities include