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A digital twin (DT) is a virtual representation of a physical object, system, or process (including cities, and even ecosystems), synchronised with the real-world entity it replicates by using
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lab Technology and Innovation for learning. The project In this project we want to investigate technostress amongst primary education teachers from a multidisciplinary perspective, combining insights
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research, always looking to improve and contribute meaningfully to the core project. Your experience and profile: You hold a MSc in Computational Science, Computer Science, Computational Physics, Applied
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(1) Algebra, Geometry and Mathematical Physics, (2) Pure, Applied and Numerical Analysis, and (3) Stochastics. It also provides the lecturers and instructors for the mathematics teaching within
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Theoretical physics and mathematical physics aims to understand the physical world from first principles. The prominent methods in this area include quantum field theory and string theory. You will
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, Physical Chemistry or Electrical Engineering; Experience in the following fields: 2D materials, Nanofabrication, (2D material) devices/detectors, detector measurements. You should be able to: Work at the
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The project you will work on lies on the boundary between AI and theoretical physics. Physics has been a source of inspiration for innovation since the early days of machine learning. In particular
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Are you a highly motivated physicist interested in a PhD project at the intersection between nanophotonics and 2D material science? The 2D Nanophotonics group within the Institute of Physics has
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students. Your profile You have: A MSc degree in physics, applied mathematics or a closely related discipline; A creative, curious, and self-driven nature with a genuine interest in interdisciplinary
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into how we can empower adolescents through targeted interventions? Then apply for this PhD project! We are looking for an ambitious PhD Researcher for the four-year project “Empowering Adolescents: Building