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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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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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, 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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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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. Cryo-EM has become a very powerful method to visualize ice-embedded samples including purified proteins at close to atomic resolution. Typically, single-particle cryo-EM as well as cryo-ET are based
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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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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
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spectroscopies, as well as molecular biology for introducing site specific alterations. Atomic level structural insight will be obtained via single particle analysis cryo-EM and snapshot serial crystallography