258 high-performance-quantum-computing-"https:" "https:" "https:" "https:" "https:" research jobs at Harvard University in United States
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, and either flow cytometry or microscopy, or both. The ideal candidate values patience, curiosity, and hypothesis-driven science, and is eager to learn new model systems and/or techniques. High standards
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manuscripts, participate in teaching and mentoring of lab members as needed, and otherwise contribute to the overall lab operations and collaborative environment. A strong sense of collaboration and high levels
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Please see the fellowship page for more information: https://www.huri.harvard.edu/mihaychuk-postdoc-fellowships Additional Qualifications Special Instructions Contact Information Megan K. Duncan Smith
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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on performance. Please take a look at the type of work Prof. Stantcheva does on her website: https://www.stefanie-stantcheva.com/ as well as on her Social Economics Lab website http://socialeconomicslab.org
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computational approaches. See our lab web page (https://projects.iq.harvard.edu/gaudetlab ) for more information about our publications and research interests. Basic Qualifications Candidate must hold a PhD in
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at generating training sets with high-order quantum calculations and designing combined models for the exchange and correlation energy using non-local features of electronic density and orbitals. Qualifications
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about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https://www.shih.hms.harvard.edu/ . What you’ll do: Develop DNA-based sensors that seed crisscross assembly of single
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to start on or around Spring/Summer 2026 with some flexibility. Duration: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance, business
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assay for high throughput analysis. Assess and validate sensor performance with real samples; ensure data reliability and reproducibility. Develop strategies to address matrix effects and potential