169 algorithm-development-"https:"-"Simons-Foundation" Fellowship positions at Harvard University
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subfield of Biological Anthropology or an adjacent field, with interests in areas like evolutionary life history theory, growth and development, endocrinology, nutrition, reproductive ecology or aging
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interested in these or related areas, especially those with expertise in quantitative in-vivo and ex-vivo imaging. The successful candidate will work with Dr. Lahav to develop an independent research project
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development. More information about the lab and specific research areas can be found at https://sites.harvard.edu/zheng/. We welcome applications from recent chemistry or chemical biology PhD graduates with
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sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern
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Number: 15994 School: Harvard John A. Paulson School of Engineering and Applied Sciences Position Description: The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of
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at the interface of neural engineering, bioelectronics, and physiology. The role focuses on developing and evaluating sensing technologies for peripheral nerve and organ interfacing, with an emphasis on in vivo
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at Harvard Medical School in Boston, Massachusetts. The work of the Gygi lab is focused on developing and applying mass spectrometry-based approaches to the drug discovery pipeline. We welcome applications
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. The successful candidate will work with Dr. Lahav to develop an independent research project within the scope of the lab’s research focus. In addition to carrying out research, the successful candidate will be
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to identify VOC exposure patterns and chemical signatures · Generate findings to inform product-market fit, sensor design, and deployment strategy · Prepare results into a manuscript for peer-reviewed journal
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Engineering at Harvard University seeks outstanding postdoctoral fellow applicants to join a collaborative research team focused on developing screening technologies, specifically to develop a massively