173 web-developer-"https:" "https:" "https:" "Newcastle University" Fellowship research jobs at Harvard University
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. Weingarten Gabbay to develop a research project within the scope of the lab focus. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute
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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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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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the Naxerova lab at Harvard Medical School in Boston Massachusetts. The work of the Naxerova lab is focused on somatic evolution. We welcome applications from recent PhD graduates who are interested in
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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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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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vibrant intellectual environment. Basic Qualifications Please see the fellowship page for more information: https://www.huri.harvard.edu/jacyk-distinguished-fellowships Additional Qualifications Special
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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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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