200 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "Medical Research Council" Fellowship research jobs at Harvard University
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data. Prepare and publish scientific manuscripts as a lead author. Present research findings at national and international conferences. Collaborate with other group members and external research partners
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evidence across diverse populations using multi-source and multi-modal data, and accelerating drug discovery by leveraging these rich, integrated datasets. This role offers a unique opportunity to develop
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position in the Bean lab at Harvard Medical School in Boston Massachusetts. The work of the Bean lab is focused on drug discovery in the area of developing ion channel pharmacology for treating pain
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University seeks outstanding postdoctoral fellow applicants to join a collaborative research team focused on developing crisscross DNA micron-scale structures for applications in optical computing. In
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Harvard Office of Technology Development (OTD): Business Development Fellowship Deadline Month: January Description: This year-long program provides current Harvard graduate students and
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development, genetics, cell polarity, tissue mechanics and multidimensional image analysis are encourage to apply. Our group investigates cell behaviors in live embryos to address fundamental questions about
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to bear on the work in the lab. The successful candidate will work with Dr. David Sinclair to develop an independent research project within the scope of the lab’s focus on aging, genetics, and epigenetic
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Description The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks postdoctoral fellows to work on AI
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, vascularization, and function. The project focuses on investigating the development of engineered products to address liver failure. The proposed solution is built on several next generation technologies, including
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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale