76 data-"https:" "https:" "https:" "https:" "University of Aberdeen" Fellowship positions at Nature Careers
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the level of individual cells. Yet much of the biological information embedded in these data remains unexplored. The next step is to convert these time-lapse images into accurate single-cell trajectories and
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products. CDRH provides consumers, patients, caregivers, and providers with understandable and accessible science-based information about products. CDRH facilitates medical device innovation by advancing
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-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets
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curiosity and a desire for real-world impact. Mayo Clinic has digitized over 15 million gigapixel digital pathology slides, representing an incredible diversity of complex diseases of all types. This data is
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bioinformatics, computational biology, genomics, statistical genetics, or a related quantitative field, together with demonstrated expertise in large-scale genomic data analysis and significant experience in
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through collaborative participation, supporting team operations and contributing to internal service roles. These are research focused positions. Further information can be found by viewing UQ’s Criteria
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of complex diseases of all types. This data is now helping to power fundamental advancements in digital pathology, including the training of class-leading pathology foundation models and task-specific models
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, and contact information for 3 references to Dr. Rose Du (rdu@bwh.harvard.edu ) Brigham and Women’s Hospital is an Equal Opportunity Employer. All qualified applicants will receive consideration
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, including contact information, academic record, research experience and publication list Cover letter detailing your motivation for applying to the advertised research topic and/or project, including how your
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, including other Harvard Medical School-affiliated hospitals. The qualified candidate will analyze multi-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment