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results from human decision-making to inform the design of this new paradigm, and feed the results of the latter back into human decision-making to help make it more explainable. The PhD student will: (1
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 2 days ago
, Unreal Engine or other game engines; previous experience with psychophysiology data collection; designed, implemented and collected data from trials with human participants; published author in the field
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developing novel molecules to address unmet clinical needs. This is evidenced by high impact and highly cited publications, innovation (e.g. 20 new ideas from UK universities that will change the world
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layout design, development of low-loss optical couplers, coupon fabrication, and collaborative transfer experiments to realize demonstrator heterogeneous PICs for a sensing application (to be determined
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doctoral candidate who meets the following requirements: A background and strong interest in aluminum alloys, fatigue analysis, and numerical modelling is preferred. Experience with computer aided design and
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exploratory eye and body movements during art (exhibitions) experiences and relate those to parameters of lighting design and perception. This project will be supervised by Maarten Wijntjes and Sylvia Pont. PhD
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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia
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complex, functional tissues using advanced engineering tools. You will design and test approaches that combine cell- and compound-encapsulated microspheres, programmable biomaterials, and spatially
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Are you passionate about generative artificial intelligence and ships? Join us in innovating the ship design process as we know it. Job description Introduction Generative AI is transforming how
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knowledge and experiences in using HecRas, SWAT and ArcGis Pro Experience in designing and using databases for hydrological data. This includes management of big data sets Experiences of using statistical