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exploration strategies that go beyond traditional techniques such as linear programming or deterministic solvers. You will work on cutting-edge methods including: Bayesian optimization Surrogate modeling
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causal inference methods (e.g., directed acyclic graphs) would be an asset Fluent in reading, writing, and speaking scientific English Required Skills : Experience in data management and analysis of cohort
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methods for causal inference. Nature Communications, 14(1), Article 1. https://doi.org/10.1038/s41467-023-37194-5 Delalandre, L., Gaüzère, P., Thuiller, W., Cadotte, M., Mouquet, N., Mouillot, D., Munoz, F
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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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Toulouse School of Economics Position ID: 3128 -AP [#27056] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Toulouse, Midi-Pyrenees 31000, France [map ] Subject Area
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, Movement Sciences, Cognitive Science, or related fields. Research Expertise: Strong interest and experience in cognitive-motor interactions. Proven track record of research productivity, including peer
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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