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architectural firm. The candidate is expected to publish in leading Human-Computer Interaction venues. Your competencies You hold a master’s degree in human-computer interaction, computer science, interaction
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are invited for one full-time PhD student scholarship in the area of 6G communication networks. The selected candidate will be enrolled in the PhD program of the Department of Computer Science and Engineering
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characterization Computer skills (data analysis, statistical analysis, graphs preparation) Publication history in Q1/Q2 journals Ability to work within an interdisciplinary team and join collaborations English
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hold a PhD in computer science or mathematics, with computer algebra as a specialty. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7161-GOVVAN-019/Default.aspx Work Location(s
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Requirements: PhD in Civil/Structural Engineering, Geophysics, Seismology, Engineering Mechanics, Electrical/Computer Engineering, Applied Physics, Optical Engineering, Computer/Data Science, or a related field
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interdisciplinary degree between Music and Technology degrees (e.g., Electrical and Computer Engineering). Students gain musical training through a musicianship core, applied musical instrument study, and a musical
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, computer vision, federated learning, foundation models, adaptation techniques, multimodal learning, longitudinal image analysis or related areas, evidenced through coursework, research projects
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-based of 173 or internet-based of 61) on the Test of English as a Foreign Language (TOEFL) or a satisfactory test score of 6.0 on the International English Language Testing System (IELTS). Incomplete
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on BS7671 :18th edition of the I.E.T. Regulations up to and including all current amendments Computer literacy is desirable for operation of Building Management Systems. Also, a first aid certificate
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researcher with strong skills in artificial intelligence, machine learning, deep learning, and computer vision, with the ability to apply these methods to ultrasound image/video analysis and biomedical data