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for streamed data that enhance contemporary generative and large language models”. They will be expected to conduct research which falls within the remit of this large-scale project and will have the
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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scale for this position . A reasonable estimate for this position is $78,300 - $201,700 Percent time: 100% Anticipated start: January 2027 Position duration: Two years with possibility of renewal based
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quantify cellular temporal dynamics Work with clinical collaborators to assess the value of novel biomarkers for answering targeted clinical questions. Perform large-scale analysis of multi-modal
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, electronic health records, and survey data associated with large scale biorepositories, such as the All of Us Research Program dataset. Analyze multi-modal and multi-omics data from clinical studies to
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appointment. See the following table for the current salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t37-b.pdf . A reasonable
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supporting: 1. Lead the day-to-day business of an EPSRC funded UK Hypersonic Sounding Rocket Experiment Network. The successful applicant will organise multi-institution meetings, events, and will
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Immune Metabolism Modeling Scientist , you will: Lead the development, validation, and application of genome-scale metabolic models using in-house computational tools. Integrate transcriptomics, proteomics
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 5 hours ago
Academic Salary Scales | UCOP) set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position: Salary Scale Application Window Open
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 15 hours ago
frameworks that transform complex large-scale, multi-modal neuroscience and behavioral data into clinically relevant insights, addressing core challenges of heterogeneity, dimensionality, harmonization