ML Tracking Scientist for HL-LHC & EF Innovations

ML Tracking Scientist for HL-LHC & EF Innovations

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CERN
CERN is seeking a talented physicist for a position focused on machine learning techniques for track reconstruction in high-density environments. You will participate in research aimed at improving algorithms for the ATLAS Event Filter. Ideal candidates should have a PhD in Particle Physics or Computer Science with relevant experience. This full-time role offers a stipend between 6372-7004 Swiss Francs per month and various benefits, including health insurance and relocation support.
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CERN

Kontaktdaten:

CERN Recruiting-Team