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tissues for spectral cytometry analysis. Data analysis using different omic software (SpectroFlow, Omiq®, and FlowJo). ➢ Cell culture: Maintenance and experimentation with primary cell cultures, especially
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Detail Information Position Summary The Department of Neurosurgery is seeking a highly motivated individual with a strong background in neuroimaging analysis and artificial intelligence (AI). The Research
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sustainability. The selected researcher will contribute to the development of predictive models and machine learning algorithms for data analysis from plant-based sensors, multispectral and thermal imagery, and
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Umeå University, https://www.umu.se/en/work-with-us/ Where to apply Website https://umu.varbi.com/en/what:job/jobID:890820/type:job/where:39/apply:1 Requirements Additional Information Work Location(s
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, https://www.umu.se/en/work-with-us/ Where to apply Website https://umu.varbi.com/en/what:job/jobID:887292/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 3 hours ago
. Responsibilities will include assisting with the lab’s data and research pipeline by collecting and cleaning data, performing data management and analysis, creating graphs and figures, visualizing data, assisting
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19 Jan 2026 Job Information Organisation/Company UNIVERSIDAD DE GRANADA Department Vicerrectorado de Investigación Research Field Other Researcher Profile Recognised Researcher (R2) Positions Other
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16 Jan 2026 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Chemistry Engineering » Chemical engineering Researcher Profile First Stage
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Università degli Studi di NApoli Federico II -Dipartimento di Medicina Molecolare e BiotecnologieMediche | Italy | 4 days ago
three-dimensional cultures and patient-derived organoids, and the analysis of data derived from “omics” techniques (such as RNA-seq, RIBO-seq, and proteomics). Where to apply Website https
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the analysis of linked health registries though the development, implementation and application of methods for causal inference in time-to-event outcomes. For more information and how to apply: https