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About us: The applicant will join the Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will
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-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and
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pathologists, immersing yourself in the world of horticulture and experiencing its advantages and challenges. About the position Subject description Knowledge on trait inheritance and novel genetic and genomic
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to better predict incident disease from high-dimensional genetic and non-genetic data, quantification of trait heterogeneity and asymmetry from imaging data, leveraging biobank genetic and prescription data
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
Posting Information Posting Information Department Genetics - 423501 Posting Open Date 03/23/2026 Application Deadline 04/02/2026 Open Until Filled No Position Type Permanent Faculty Working Title
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
Posting Information Posting Information Department Genetics - 423501 Posting Open Date 03/23/2026 Application Deadline 04/06/2026 Open Until Filled No Position Type Permanent Faculty Working Title
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6 Mar 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Immunology, Genetics and Pathology Research Field Medical sciences » Medicine
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for non-invasive monitoring” (EMET)”, contract 50PTE/2025 (PN-IV-P7-7.1-PTE-2024-0715, Center for Research, Training, and Consulting in Microbiology, Genetics, and Biotechnology (MICROGEN), Faculty
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. to work on projects to: (1) Develop innovative mouse models of prostate cancer to determine genetic determinants of immune suppression and metastasis. (2) Uncover heterogeneous senescent cell types and