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fundamental and applied research in different areas of Human-Computer Interaction (HCI) such as visualization, human-centered design, privacy, graphical design, and human-centered AI. We are looking
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Systems, Differential Geometry and/or Information Theory. Excellent academic credentials. Experience with programming languages (such as Python, Julia, Matlab, C/C++, etc.). Strong knowledge and interest in
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in different brain models (tree shrew, macaque, human neurotypical, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team
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under different climatic and social contexts to provide decision-making tools for sustainable urban planning. Main Tasks and Responsibilities: Develop a predictive model integrating the direct and
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, analyzing, and using multimodal multichannel data (e.g., log files, eye tracking, physiological sensors, facial expressions of emotions, etc.) across different advanced learning technologies (e.g., game-based
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analysis skills (e.g., Python, MeVisLab, Blender) A clear affinity for the field of (bio)mechanics The candidate should be a team player with excellent communication skills In our international working
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Hub. Accountabilities Cleaning, manipulating, and analysing longitudinal quantitative data from various datasets, including survey, accelerometer and GPS, and EMA data from different project sites
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, including music generation, production, and analysis. The candidate will join a highly dynamic team of researchers that spans across different departments at Duke University and other research universities
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robotics and design journals/conferences. Essential Criteria PhD (or equivalent experience/Masters with significant research background) in a relevant field Extensive programming skills (e.g., C++, Python
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care have been part of the journey to place this technology on the market. Different grants have been awarded to the project, including the prestigious Biomedical Catalyst from Innovate UK. The later is