110 algorithm-development-"University-of-Surrey" Fellowship positions at Harvard University
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. Combining operators You can combine the operators above to fine-tune your results: +"artificial intelligence" algorithm +robot -machine → Shows results only if they include artificial intelligence (as an
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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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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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Institute on City Design (MICD), providing an annual 11-week curriculum, convening and public program for mayors. The GSD-developed curriculum focuses on planning and design solutions through lectures and
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University seeks outstanding postdoctoral fellow applicants with expertise in biomolecular engineering or science to develop hierarchical self-assembly of hundreds to thousands of distinct DNA origami
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devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts
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for a Postdoctoral Fellow position. The lab is working to explore the evolution of mammalian lifespan with the goal of better understanding the underpinnings of human aging. There is a strong emphasis on
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biology, neural development, organoid-based research, or neurodegeneration. New investigators will benefit from the expertise of his lab and other collaborting investigators at HMS and FAS. Basic
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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