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biology / Immunology laboratory experience, such as: Flow cytometry and FACS, immunofluorescence microscopy/imaging, cell culture, tumour cell killing assays, tissue processing, etc. Molecular biology
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of imaging equipment and computer systems, and the ability to exercise sound judgment in a fast‑paced clinical environment. PRIMARY JOB RESPONSIBILITIES Independently operates all mammography equipment and
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& Computer Engineering in the Herbert Wertheim College of Engineering (HWCOE) at the University of Florida is soliciting applications for a full-time, nine-month, time-limited, non-tenure-track faculty
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field of genome sciences and the world. To learn more, visit https://genomics.tamu.edu/ . What We Want The Texas A&M University Preclinical and Phenotyping Core (TPPC) is seeking a highly motivated Senior
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Champalimaud Foundation employment framework. ● Work in a multidisciplinary research environment combining neuroscience, cancer research, clinical translation, engineering, computation and advanced imaging
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9 Sep 2026 Job Information Organisation/Company UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA Research Field Computer science » Computer systems Engineering » Computer engineering Researcher Profile
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - CENTRO RICERCA SISTEMI ELETTRONICI INGEGN.INF. E TELECOM."ERCOLE DE CASTRO" | Italy | 2 days ago
and testing of demonstrators, as well as the interaction with external service providers (e.g. pcb design and prototype construction based on ARCES designs). Where to apply Website http://www.unibo.it
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. Applicants should have, or defended the viva of, a PhD in computer science, artificial intelligence, medical image analysis, biomedical engineering, or a closely related discipline. We are particularly
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and collaborative group that spans clinicians, pathologists, computational and cancer biologists. You will receive extensive training in cancer pathology, highly multiplexed imaging, and predictive
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-0157/25], carried out under the First Team programme of the Foundation for Polish Science, co-financed by the European Union under the European Funds for Smart Economy 2021–2027 (FENG). Quantitative