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of everyday life. This project aims to change that by developing AI-driven methods to assess wellbeing through video-based sentiment analyses. As a PhD student, you will develop and refine machine learning
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an inspiring working environment with outstanding infrastructure and service-oriented university management. In this video, we give you an insight into the working environment at TU Graz: HERE Contact Instiute
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in Trondheim. At NTNU, 9,000 employees 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
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in Trondheim. At NTNU, 9,000 employees 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
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-depth knowledge in the areas of Game Development, Multi-View Video Diffusion, Real-Time Graphics. We Offer Interesting area of responsibility Collegial and friendly working atmosphere Flexible working
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to the development of innovative methods for analyzing surgical activities in large-scale video datasets. The role involves exploring and integrating state-of-the-art techniques—including large language and video
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employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). Supervisory team : Supervisor: Prof. Dr. Martin Tajmar Co-supervisor
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at conferences. You will work at the interface between AI, chemistry, and biology, with a proactive and interdisciplinary attitude. You will become a member of the Molecular Machine Learning team (led by Prof. F
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employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). Supervisory team : Supervisor: Prof. Dr. Martin Tajmar Co-supervisor: Assoc. Prof. Dr
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analysis of experimental data, Matlab/Python coding. We look forward to receiving your application. Closing date is January 10th, 2025, but we will screen applications as we receive them. Promising