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, United States of America [map ] Subject Areas: Biology / Ecology Ecology / Quantitative Ecology Statistics Appl Deadline: 2026/04/09 04:59 AM UnitedKingdomTime (posted 2026/03/11 04:00 AM UnitedKingdomTime, listed until
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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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responses to the allograft and tolerance induction. We use systems immunology approaches including multiparameter immunophenotyping, transcriptomics, proteomics, leukocyte functional assays, and statistical
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professional support in areas of moderate to advanced complexity, including spatial analysis, modeling, and geospatial systems research, to help evaluate business objectives, define user requirements, and
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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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on the sustainable use of the marine environment through ecosystem-based management and marine spatial planning. Developing ways to make this advice climate-proof and identify climate-ready solutions. Contributing
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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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multidisciplinary experience in combining integrative computational immunology – data-driven, state-of-the-art single cell resolution and spatial methods, machine learning and kinetic modeling – with integrative
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for the other courses may include introductory computational methods, statistical methods, text analysis, network analysis, spatial analysis, societal impact of AI, digital media, art and technology, social media