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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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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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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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into explanatory quantitative studies, using existing large-scale survey data from Statistics Netherlands (CBS) using multilevel analysis to discern explanations and outcomes at the individual and organisational
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quantitative statistical methods, using software such as R; A communicative, persistent and meticulous character; Excellent command of written and spoken English. Preferred Qualifications: Demonstrated affinity
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within CONNECT. The researcher will also be part of the School of Computer Science and Statistics in TCD. The position will be under the direction of Prof. Marco Ruffini and Prof. Dan Kilper Please see
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of reverberation chambers. This is why most modeling for reverberation chambers is rooted in stochastics and statistics, yet the disadvantage of such an approach is that the underlying assumptions are only weakly
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24 May 2024 Job Information Organisation/Company Ghent University Research Field Computer science » Programming Computer science » Other Mathematics » Applied mathematics Mathematics » Statistics
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Jordan laboratory, UMR CNRS 5208, in Villeurbanne (Université Claude Bernard Lyon 1). He will be a member of the Statistical Probability and Mathematical Physics team and will participate in
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The Privacy-aware transparency decisions research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be