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statistical learning. It is well known that data can be highly sensitive, and that naive anonymization is not sufficient to avoid disclosure. Models and aggregates can also lead to disclosure as they can
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the first two years of data collection. The use of advanced statistical methods is essential to analyze the spectrum with the required precision. The development of these methods began at Subatech using a
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Fuels. Number of positions: 2 Reference: PhD 2024-11/12 ALL Supervisor: Prof. Feliu Maseras Project: Statistical treatments for computational homogeneous catalysis. Number of positions: 1 Reference: PhD
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