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holographic approaches to quantum gravity. For the present PhD position we invite applicants with an interest in fundamental theoretical physics. For such a PhD student the location of Nordita (Nordic Institute
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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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of particle physics (e.g., the existence of dark matter in our universe, or the so-called “g-2” anomaly) will be explored using LHC Run-2 and Run-3 data using the golden “multileptonic signatures”, whereby
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computing techniques and machine learning approaches. In addition to the physics analysis, you will perform studies for extending the existing real-time analysis software running reconstruction and selection
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. This project will, for the first time, incorporate nanoscale flow physics within a Brownian simulator of particle motion in channels. In this largely unexplored space we can expect that a complex interplay of
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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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. Department of Energy and Process Engineering We conduct research and teaching covering the entire energy chain, from resources to the end-user. We look at how energy is produced and used by humans and machines
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students. Tasks and responsibilities: Conducting independent research in physics and machine learning, resulting in academic publications in peer-reviewed international journals; Help to guide Master
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24th April 2024 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD candidate in airflow distribution, heat/mass transfer and ventilation in
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potential uses for Machine Learning. Multiscale modelling is important: phase transitions can often be found in the particle models and studied via bifurcation analysis at the continuum level. These