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opportunities to develop scientific independence, establish new research directions, collaborate across disciplines, mentor junior scientists, and acquire the skills and publication record necessary for the next
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the Principal Investigator (Dr. Shengli Zou). Conduct advanced computational chemistry research with a focus on nanophotonics, quantum mechanics, and machine learning–assisted modeling and simulations. Prepare
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, or machine learning) Experience working with various animal models Ability to work in an interdisciplinary research environment Specific Requirements Programming experience (Python and R) Experience with
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insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time
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. About the role As Postdoctoral Researcher in Big Data for Cardiovascular Population Health, you will play a key role in applying machine learning, health statistics, and large-scale medical and population
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at the intersection of conversational AI, human–computer interaction, multimodal interaction, user modelling, and cultural heritage. As a postdoctoral researcher, you will: Conduct research on dialogic interaction
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machine learning and AI to improve inversion, interpretation, and autonomous monitoring. Publish peer-reviewed research and contribute to external funding proposals. Mentor graduate students, undergraduate
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qualifications. Our benefits include: • Generous employer contribution pension • 29 days annual leave plus bank holidays, along with Christmas closure • Ride to work and EV car scheme available For more
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employer contribution pension • 29 days annual leave plus bank holidays, along with Christmas closure • Ride to work and EV car scheme available For more information, please see University of Manchester
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Posting Summary Logo Posting Number RTF00164PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral