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Computational Arts, Music, and Games within the DSAI division. About the research project This position is related to investigating learned cultural representations in data search spaces of generative AI models
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artificial intelligence (AI) technologies, based on hardware inspired by the structure and function of the brain for superior energy and latency performance in embedded and human-centric applications. We offer
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while end users interact with them in a seamless manner without being aware of the state-of-the-art technologies involved, including cloud computing, IoT, and augmented/mixed/virtual/extended reality
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while end users interact with them in a seamless manner without being aware of the state-of-the-art technologies involved, including cloud computing, IoT, and augmented/mixed/virtual/extended reality
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Team up with up to 3 fellow Ph.D. students in the DSP-assisted Wideband & Efficient Transceivers (SWEET) project which is part of the WiTECH center to perform cutting-edge multi-disciplinary
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Experience with performing laboratory experiments Ability to work with large data sets (> 500 GB) Numerical modelling Main responsibilities Independent research and research training (80% of time) Support for
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with a team of researchers to contribute to the development of new knowledge and technical solutions to enhance the performance of wood-based products bonded with adhesives, including bio-based ones
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, renovation, and the built environment Optionally, teaching at undergraduate level or performing other departmental duties (up to 20% of working time) Contract terrms The position is limited to four years, with
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, biotechnology, and materials science. Your main supervisor, Malgorzata Zboinska , is associate professor in Architectural Design, Digital Technology and New Media Art and development leader for the Robotic
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career. Read more about the research at The Department of Chemistry – BMC at our website . Project description This PhD project will be performed in the Senger lab in close collaboration with