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Field
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lectin–glycan interactions in molecularly defined model systems, and elucidate the physical and chemical rules underlying superselective targeting. This knowledge will enable the rational design of probes
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functional transition metal dichalcogenides (TMDCs), combining precursor design and synthesis, electrochemistry, solution and surface computation, advanced characterisation and device integration. In
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., Roblox, Minecraft). Design and develop robust and scalable game agents to navigate and interact with immersive 3D virtual environments (e.g., Roblox, Minecraft). Integrate AI agents into gaming scenarios
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engagement. This structure allows fellows to focus on instruction and interaction while benefiting from UVA’s collaborative approach to course design and delivery. Fellows will also shadow experienced APMA
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Opportunity: This is an exciting opportunity for a motivated researcher or developer to contribute to the design and delivery of IoT-enabled digital twin solutions for sustainable energy
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of host–pathogen interactions across molecular, individual, and population scales to address emerging health challenges. We are seeking a highly motivated full-time Research Fellow to join our team working
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experience and a keen interest in developing physics and chemistry tools to reveal complex protein/glycan interactions? Are you eager to develop your expertise, push the boundaries of knowledge, and pursue a
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experience and a keen interest in developing physics and chemistry tools to reveal complex protein/glycan interactions? Are you eager to develop your expertise, push the boundaries of knowledge, and pursue a
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development and/or in C++ language development in a CFD environment; Competent in soft skills / general personality traits e.g. information visualization, interaction design Experience with energy modelling
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a structured framework; 3. Structure a taxonomy of HCAI practices, organized by levels (design, interaction, validation, learning); 4. Define key dimensions of the taxonomy (transparency