174 web-programmer-developer "https:" "https:" "https:" "Foundation for Research and Technology Hellas" Fellowship positions at Harvard University
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position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing methods
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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the development, evaluation, and implementation of task-shared mental health services in primary care settings and other community settings in the United States. The successful candidates will work with Dr. John
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these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with Dr. Kruse to develop an independent research project
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an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough problems
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bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with Dr. Buratowski to develop an independent research project within the scope of the lab’s
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School: Harvard Medical School Position Description: As part of its Marshall J. Seidman Fellowship Program to support impactful health policy research, the Department of Health Care Policy at Harvard
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, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with
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candidate will work with Dr. Jun Huh to develop an independent research project within the scope of the lab's research. In addition to carrying out bench research, the successful candidate will be expected
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the possibility of extension. For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu For questions, please email mweber