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of parametrization of these models based on least squares and Bayesian calibration techniques employing longitudinal series of anonymized PSA data from patients. 3) Analysis of the predictions, parameters, and
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). o Software and hardware co-design. Indicative skills/experience: - Designing for real-time inference and hardware acceleration. - Knowledge of runtime reconfiguration, latency profiling, and dataflow
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sciences, political science or economics. Expertise in urban planning and statistical analysis, proficiency in English (additional European languages are a plus), and a demonstrated track record in mobility
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platform, imaging platform, mass spectrometry platform and experimental animal platform. In line with international standards, HCLS runs the Tenure-track system and PI responsibility system and strives
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phylogenetic reconstruction and genetic diversity analyses using Bayesian and maximum likelihood frameworks (e.g. BEAST, IQ-TREE). Develop, document and maintain reproducible bioinformatic pipelines following
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statistical inference, quantum metrology, and quantum machine learning. The group 7 senior researchers (4 full professors), 5 postdoctoral researchers, and 12 PhD students. Its members have a strong
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Research Infrastructure? No Offer Description Mission: To quantitatively demonstrate that collaborative detection is better than that of individual agents in urban mobility. Functions to be developed: Infer
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-matter model of biological tissues. The analysis will comprise both analytical calculations and numerical simulations. The candidate will also analyze experimental data from collaborators to infer
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signatures of logical representations and inferences induced by the passive inspection of simple scenes. Building upon previous results, we propose to realize four goals: Understand the nature
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these data structures and their associated algorithms to enable pattern-matching and other operations required, for instance, to infer microbial transcriptional regulatory networks through comparative genomics