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astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics and cosmology, in particular simulation-based
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perspectives. One main research activity is participation in the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. We invite applications for a postdoctoral position in experimental particle physics
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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offering a postdoctoral position to strengthen its activities on the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. The selected candidate will work within L2IT. His/Her work will focus
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, for event reconstruction and classification, including potentially machine learning/AI Interpretation in suitable theoretical models Contribution to software activities that are required for wider use by DESY
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-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent and broadly
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experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in particular simulation-based inference), strong programming