36 data-"https:"-"https:"-"https:"-"https:"-"LGEF" Fellowship positions at Nature Careers
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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Job Description SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical
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Postdoctoral Fellowships - Department of Data Science Dana-Farber Cancer Institute Boston, MA Full Time Overview The Department of Data Science at Dana-Farber Cancer Institute welcomes recent Ph.D
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expression, age, disability, genetic information, citizenship status, or veteran status. To learn more about our commitment to diversity and inclusion, please visit: https://jobs.utsouthwestern.edu/why-work
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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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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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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 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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, to generate crucial information revealing the cellular roles, functions and underlying mechanisms by which MICL regulates immunity. The focus of this work will be to elucidate the components of MICL involved in
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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