179 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" research jobs at Harvard University
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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bring a new technology or perspective to bear on the work in the lab. The successful candidate will work with Dr. Buratowski to develop an independent research project within the scope of the lab’s
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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 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 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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) 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