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Field
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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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-performance training/inference systems, your contributions will be critical to our mission. We are hiring for multiple specializations within this role, and we encourage candidates with a deep passion for any
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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
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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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and publications in international academic journals. • Experience in the use of causal inference methodologies applied to spatial data. • Knowledge and advanced use of quantitative techniques
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publications in international academic journals. • Experience in the use of causal inference methodologies applied to spatial data. • Knowledge and advanced use of quantitative techniques (regressions
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. Furthermore, he/she will participate in the development of computer vision algorithms for hyperspectral image analysis and mathematical models for knowledge inference, with the aim of estimating the key
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analyze and interpret multi-omic data to identify spatial patterns, cellular neighborhoods, and gene programs associated with drug resistance. Develop predictive models to infer tumor evolution and