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to evaluate pancreatic cancer pathology using human tissue specimens Assemble analysis pipelines using machine learning to process tissue data reproducibly and at scale Conduct analyses using programming
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proposals. Responsibilities Develop, implement, and evaluate new statistical and machine learning methods aligned with the two themes above. Lead and co-author manuscripts in statistical, machine learning
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investigators to acquire essential academic credentials and research skills with the purpose of increasing competitiveness for MD, PhD, or MD-PhD programs in biomedical sciences. Primary Responsibilities Devote
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 18-Dec-25 Location: Baltimore, Maryland Type: Full-time Salary: 70,000.00 - 90,000.00 Categories: Academic/Faculty
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of immune cell function. These projects are focused on making safer and more effective cell therapies (e.g., CAR-T) and gene therapies for cancer and beyond. We are an interdisciplinary lab spanning
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of hire. MD or PhD. Research expertise in Ophthalmology, Biomedical Engineering, Computer Science, Data Science, Machine Learning One year’s work experience, or equivalent in thesis research and other
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of Data Science at Dana-Farber Cancer Institute welcomes recent Ph.D. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning
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Department: SOM KC Radiation Oncology ----- Radiation Oncology Position Title: Post Doc Fellow - ONC Radiation Oncology Job Family Group: Professional Staff Job Description Summary: Postdoctoral
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modeling, machine learning methods, and applications involving text and other non-traditional data sources. The fellow will contribute to and extend research in these areas, engaging in projects that develop
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at their institution. The posted UC salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/index.html ) set the minimum pay determined by rank and step at appointment. See Table 5 (https