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transcribing, coding and analyzing data related to gestures and/or Sign Language; b) experience in using video transcription software (e.g. ELAN); c) knowledge of quantitative and qualitative methods
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process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Are you motivated to take a step towards a doctoral
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of linear algebra, calculus Familiar with robot control, control engineering, and machine vision Selection process Technical Interview Basic coding and programming skills Additional comments The PhD student
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Conceptualizing and implementing behavioral analyses of video-recorded parent-child interactions (e.g., development of coding manuals, training and supervision of coders) Collaboration in an international team
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and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Department of Information Security and Communication
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
areas (RJEC), updated by the Law no. 57/2017 of 19th July and Labour Code approved Law no. 7/2009 of 12th February, under its current reading and Regulatory Decree No. 11-A / 2017, of 29th December. 5
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For further information, please contact Prof. Raivo Sell raivo.sell@taltech.ee Visit for more information: https://taltech.ee/ https://autolab.taltech.ee/ See TalTech iseAuto demonstration videos: https
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attitudes. Do you want to take part in shaping the future? ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position About the positiWe
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will pioneer mathematical frameworks for multimodal integration, advance video transformer architectures for temporal-spatial dynamics, and develop few-shot learning methodologies for ultra-low-resource