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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be
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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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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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, collaborative science, and high-quality research. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Doctoral degree in mathematics, statistics, computer science
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. The Prob_AI hub will focus on probabilistic AI, and bring researchers with skills across areas such as Bayesian and Computational Statistics, Dynamical Systems, Numerical Analysis, PDES, Probability, Stochastic
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into zebrafish tail motion, so behavior.We will explore different methods of quantifying casual information transmission that link neural encoding and zebrafish behavior. We will look for statistical signatures
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)) models are used at all stages of pre-clinical and clinical development, but they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains 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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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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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