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of Wrocław does not provide housing. Information clause for persons participating in the recruitment process: https://hr.uwr.edu.pl/en/information-clause-for-persons-participating-i… Where to apply E-mail
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Title: Adjunct Instructor - Music Production, Audio Engineering and Songwriting, Composition or Arranging. Employee Classification: Adjunct Faculty Campus: University of North Texas Division: UNT
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
audio processing models for nonverbal communication, and generating suitable robot's reactive behaviors. Humans are often unable to speak clearly when they interact with a robot: sometimes, fear takes
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practices and advancements in art tech and media design into the curriculum. Candidates should possess relevant knowledge and/or experience in the following fields: AR, VR and XR Art Direction Audio and Video
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processing An interest in the processing of the sound structure of languages Experience in the design, running and analysis of EEG experiments Strong data analysis skills, including mixed effects modelling
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the CSUN community can offer. If this sounds like you, you’ve come to the right place. Learn more: https://www.csun.edu/about-csun . Major Duties Under general supervision of the Director of Operations and
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technician, operator and event technical lead. This position will assist in planning, design, construction and operation of audio, lighting, video and staging systems for Hall of Music Productions. Participate
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community in Europe devoted to the study and prevention of mental illness and brain disease. The IoPPN pioneers research into new and improved ways of understanding and treating mental ill health ( http
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for persons participating in the recruitment process: https://hr.uwr.edu.pl/en/information-clause-for-persons-participating-i… Where to apply E-mail praca@uwr.edu.pl Requirements Research
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, implementation, and analysis of machine learning models for computer vision tasks (40%). Analysis of natural scene statistics in aquatic and terrestrial environments (40%). Design of models to learn texture