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. XV produces a very rich 4D dataset (3 spatial dimensions + time), showing lung expansion and contraction, and we are working on understanding the best methods for interpreting this data. The successful
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Posting Summary Logo Posting Number RTF00028PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156385 Business Title (Internal Title) Post-Doctoral
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 23 days ago
transferts de fertilité ainsi que la dispersion de communautés microbiennes à grande échelle spatiale. A terme, le travail de cette thèse pourra contribuer à de tels développements. L'objectif général de la
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will be working in an experimental lab, performing data collection, analysis, and modeling of behavioral and electrophysiological data. Applications are invited to apply for a statistical data analysis
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: How do microbiomes vary, and what does that mean for host health and fitness? 3) Landscape-Level Change: What drives spatial variation in population dynamics across ecosystems? 4) Next-Gen Monitoring
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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datasets. The ideal candidate will have: ?Formal training and experience in analysis of high-throughput data using statistical or machine learning methods, and strong programming skills. ?Demonstrated
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Professor (25260446) Responsibilities: The Department is recruiting one scholar at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics
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in Spatial Omics and Multi-Modal Data Integration Duties & Responsibilities: Develop computational and machine learning methods for spatial omics data (spatial transcriptomics, spatial proteomics