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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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Are you passionate about the development of new materials for quantum applications and intrigued by integrating chemistry and physics approaches? Are you a driven student seeking to engage in
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on scientific explanation and methods applied to areas such as AI, Mathematics, Quantum Physics, Cognitive Science, Life Science and the Engineering Sciences. What are you going to do? You will develop an account