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of Pharmaceutics, 124721 - C. Chargari, P. Maury et al (2024) Theragnostic Gadolinium-Based Nanoparticles Safely Augment X-ray Radiation Effects in Patients with Cervical Cancer. ACS nano 18 (26), 16516-16529 Where
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knowledge of augmented reality and virtual reality. Good knowledge and experience in Unity programming and programmatic manipulation of 3D digital objects. Documents proving the ownership of academic degrees
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. Contributing to the development of LLM-based systems, including prompting strategies, tool use, evaluation, retrieval-augmented workflows, and adaptation. Designing and running user studies to evaluate how
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(e.g. Agentic Reinforcement Learning), evaluation, tool use, agentic harness, or retrieval-augmented systems. Internship/full-time experience from research, engineering, or algorithm-development roles in
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-machine interaction, assistive technology, virtual and augmented reality, prosthetics, and wearable devices. In this PhD project, you will focus on mechanical haptics using liquid crystal polymer and liquid
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University of Technology and is part of the project TactVision: The Liquid Crystal Polymer Invisibility Cloak. Modern optical systems, including augmented reality glasses, visors, head-mounted displays, and
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augmented reality to inform stakeholders of future environmental impacts of the planned wind farms. We offer the opportunity to work in a very inspiring and motivating multidisciplinary research group
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airspace of a wind farm, and prediction of the probability of collision at wind turbines. This will be integrated into a Digital Twin (DT) framework to realize augmented reality to inform stakeholders
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PhD Scholarship in University Students’ Learning Via Digital Twins of Neutron Scattering Instruments
project, Augmenting the STEM classroom by ESS digital twins. The ACCESS project is funded by the Novo Nordisk Foundation, and it is a collaboration between DTU – Technical University of Denmark, University
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them or augment their behavior in a controlled way. Specifically, your tasks will be: Running numerical simulations of active systems Using physics-informed machine learning techniques to characterize