24 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" Fellowship positions at Nature Careers in United States
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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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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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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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, 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 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
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oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance
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for more information about the Klaus Töpfer Sustainability Fellowship and a list of Frequently Asked Questions. The Klaus Töpfer Sustainability Fellowship is supported by a discretionary budget of up
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) for hypothesis development, experimental design, and execution. Participate in data processing, analysis, discussion, reporting, presenting findings at conferences, and manuscript drafting. Work effectively within
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Integration of lifestyle, metabolic, and genomic data to refine early detection and prevention strategies Disparities research and risk modeling to optimize equitable deployment of new cancer screening
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cells, antigen-presenting cells, cell culture, immunological techniques, multicolor flow cytometry, scRNA analysis are highly desirable. Please include the following information with your Resume/CV: Cover