384 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Harvard University
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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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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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Details Title Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability School Harvard John A. Paulson School of Engineering and Applied Sciences Department
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Details Title Postdoctoral position in AI for Engineering Applications School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Applied Math Position Description
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Details Title HMS - Research Associate (Cryo-EM Specialist) in Harvard Cryo-EM Center for Structural Biology, Department of Biological Chemistry and Molecular Pharmacology School Harvard Medical
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. Deadline: March 24, 2026. For further information regarding fields of study and the structure of the program, visit the History and Literature website at http://histlit.fas.harvard.edu. Contact Email histlit
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) of focused, independent research. Fellows enjoy access to Harvard’s vast research resources and vibrant intellectual environment. Basic Qualifications Please see the fellowship page for more information: https
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welcome applications from recent PhD graduates who are interested in this or a related field, particularly those who may bring a new technology or perspective to bear on the work in the lab. The successful
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning