414 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions in United States
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, and research. The 884-bed medical center currently employs 2,700 faculty, cares for ~48,000 inpatients per year and provides approximately 2.3 million clinic visits and 54,000 surgeries per year. Data
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ability to work both independently and collaboratively. Special Instructions Contact Information Melissa Mendez Contact Email mmendez@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered
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. Letters of recommendation will be requested from finalists only. A minimum of two (2) letters of recommendation will be required. Contact Information Daniella Rothstein Contact Email daniellarothstein
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experience in at least three of the following: developing watershed model input datasets, geospatial analysis, applying large-scale hydrologic models, artificial intelligence and machine learning, computer
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representative publications, and names and e-mails for three references. All documents must be submitted here through the website; applications will not be accepted by email. Contact Information Hetchen Ehrenfeld
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information; at least one reference should be from a supervisor Letter of interest Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 3 days ago
data generated from medical device materials under different extraction conditions in conjunction with physics- based modeling to develop the web-based tool. Learning Objectives: As a postdoctoral fellow
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their application contact information for three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes. Please include the following
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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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data analysis, contributing to research dissemination, and mentoring lab members along the way. With a combination of wet lab techniques and cutting-edge bioinformatics tools, you’ll explore novel