33 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Postdoctoral positions at Northeastern University
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. The role focuses on cutting-edge research and development at the intersection of Extended Reality (XR), Generative AI, and Wireless Systems. The researcher will work on transformative XR applications
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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, molecular biophysics, and glycobiology to uncover fundamental mechanisms in host-pathogen recognition. Key Responsibilities: Develop and analyze molecular models of glycan-collectin interactions using
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research. 2) Prepare and write research papers, grant proposals, presentations, etc. 3) Train and supervise graduate students and undergraduate students. 4) Laboratory management. Qualifications The ideal
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interested in uncovering the role of mechanics in tissue development, healing, and homeostasis. The postdoctoral research associate will perform basic or applied research of a limited scope, primarily using
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Science Center and will work closely with PI Kathleen Lotterhos. NUMSC a strong research presence in evolution and ecology research and there are many opportunities for interaction and collaboration both
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About the Opportunity We are seeking a postdoctoral associate to support research focused on the development of advanced electronic structure theory to study fundamental chemistry in heterogeneous
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Number: 6146296 Postdoctoral Research Associate About the Opportunity We are seeking a postdoctoral associate to support research focused on the development of advanced electronic structure theory to study
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diseases. Example projects include assessing drivers of global infectious disease dynamics and developing short- and long-term forecasts for those diseases, with a focus on arboviral diseases (e.g., dengue