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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly
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, innovation, social mobility, and public service. Classified as a R1 institution by the Carnegie Commission on Higher Education, ECU is among the top 5% of research universities in the United States, an elite
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building and applying state-of-the-art machine learning approaches, including foundation models, variational autoencoders (VAEs), and transformer-based architectures, to integrate single-cell and multi-omic
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bioinformatic skills to patient single cell data and contribute to science that makes a difference? Then this project is for you! We are offering a PhD or Postdoc position (f/m/d) in computational biology within
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to patient single cell data and contribute to science that makes a difference? Then this project is for you! We are offering a PhD or Postdoc position (f/m/d) in computational biology within the Taschner-Mandl
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medicine. Job Duties/Responsibilities: Design and perform experiments for the proposal that is being developed (50%) Neural stem cell differentiation into functioning neurons and oligodendrocytes in microgel
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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell high
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 10 hours ago
or machine learning applied to plant traits. Candidates with strong quantitative skills, interest in interdisciplinary collaboration, and motivation to explore crop performance in novel environments may find
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to promote neurological recovery. IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and
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; cloning; microdissection, especially of insect female reproductive organs; statistical analyses; single-cell RNA sequencing and transcriptome analysis; genetic mapping including QTL, GWAS, or PhyloG2P