173 development "https:" "https:" "https:" "European Commission" Fellowship research jobs at Harvard University
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opportunity to work with the Park Lab to develop an independent research project within the scope of the labʼs research focus. In addition to carrying out research, the successful candidate will have the
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management such as project management, drafting and monitoring data transfer agreements, developing content for website, managing social media, and drafting proposals. Job-Specific Responsibilities Primary
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to the development of image-based diagnostics and precision oncology strategies; publish findings in high-impact journals; and present at national/international meetings. Basic Qualifications Ph.D. in Molecular
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related quantitative field for a one-year Postdoctoral Research Fellow position. This position involves developing new theory and methods at the intersection of causal inference and network science
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applications for research in structural biology of membrane proteins. Our lab investigates the structure, mechanism and evolution of several types of membrane proteins using biochemical, biophysical, and
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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
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of scholarship, and accomplishments in the field. Create a Job Match for Similar Jobs About Harvard University Harvard University is devoted to excellence in teaching, learning, and research, and to developing
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scientists, engineers, and/or doctors! The lab is committed to fostering lifelong learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https
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for data quality, record-keeping, and rigor are required. The successful candidate will work with Drs. Jennifer and Alon Oyler-Yaniv to develop an independent research project within the scope of the lab’s
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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