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(History, Archeology, …). Expected skills: The candidate should have a graduate degree (Master 2 degree). His/her scholar background should include: • statistical/machine learning, statistical inference
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. In particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required
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such technology suffers from various privacy leaks even when the data do not leave the local site. Attacks range from (i) inference attacks that aim at extracting some private information about the training data
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complicates both learning and inference processes. Another challenge is that dynamic structured data are generated by a variety of sensors and infrastructures that continuously produce, disseminate, and store
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the current therapeutic strategy. Specific atypical time-varying patterns such as pseudo-progression and dissociated response will be considered. 2- Methods: We will focus on the study of novel inference
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response will be considered. 2- Methods: We will focus on the study of novel inference schemes allowing to prescribe biologically informed priors as solution of a spatio-temporal modeling problem
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approaches. Among them, diffusion models [4] have attracted the attention of several researchers working in the field of inverse problems due to their ability of combining variational inference approaches with
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analysis is preferred. Expected skills: Proficiency in statistical tools for analyzing large-scale data, including univariate and multivariate analysis, statistical inference, modeling, linear and non-linear
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tenure-track position. We invite applications at the Assistant/Associate Professor level. Teaching responsibilities will include a combination of courses in the fields of theories of international
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.; Greenlee, M. W.; Lang, E. W. A Graph Neural Network Framework for Causal Inference in Brain Networks. Sci. Rep. 2021, 11 (1), 8061. https://doi.org/10.1038/s41598-021-87411-8. (17) Zhang, H.; Song, R.; Wang