AI-Driven Anomaly Detection in Atomic Clock Signals

06 ott - Italia
Italian Ministry of Education, University and Research

INRiM in Italy invites applications for a research fellowship focused on AI-based methodologies to monitor and analyse high-reliability space systems, with emphasis on atomic clock signals used in satellite navigation and timing infrastructures.

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The work includes acquiring and validating datasets from ground-based and spaceborne clocks; developing data preprocessing procedures; xysqume and designing, training, and optimizing machine and deep learning algorithms for anomaly detection and

PROPOSAL ENGINEER

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Axl Agenzia Per Il Lavoro

Sales Advisor - FT - Trieste

07 ott - Trieste
BOGGI MILANO

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AUTISTA con patente CE e CQC

07 ott - Gessate
m.p.s. maresca

IMPIEGATO/A AMMINISTRATIVO/A - CONTABILE

07 ott - Recanati
Studio Valentini & Associati STP A.RL.