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to contamination like dust particles. These drawbacks are not present when operated inside flow channels with clean gases, which is the case for the applications addressed in this project. We will focus on two types
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The T-2 group (Nuclear and Particle Physics, Astrophysics and Cosmology) in the Theoretical Division at Los Alamos National Laboratory (LANL) invites applications for open postdoctoral positions in
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, towards future colliders. Cutting-edge machine learning developments for classical and quantum computational platforms are pursued in the group to benefit particle physics and beyond. Experience Candidates
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, towards future colliders. Cutting-edge machine learning developments for classical and quantum computational platforms are pursued in the group to benefit particle physics and beyond. Experience Candidates
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APT, TEM, FIM, EBIC, EBSD, XPS Kelvin probe microscopy, machine learning augmented analysis techniques) Experimental and computational analysis of transport and the reaction of surfaces and particles
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of particle acceleration and the Sun's interaction with the local interstellar medium. See https://spacephysics.princeton.edu/ for more information about the Space Physics Group at Princeton University
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PhD programme with a focus on data science and research in the structure of matter. The graduate school covers data challenges from application fields such as structural biology, particle physics
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, nuclear, and particle physics, physics of condensed matter, statistical physics, astroparticle physics, and mathematical physics. Course organisation All graduate studies (for Master and PhD) at our
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I supervise projects in particle physics. My main emphasis is on phenomenology, comparison of predictions with experimental measurements. I follow developments in flavour physics: weak decays
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This PhD project will focus on developing, evaluating, and demonstrating a framework of novel hybrid prognostics solution for selected system use case (e.g. clogging filter, linear actuator, lithium