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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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timely manner and handle confidential data with discretion. The position requires strong verbal and written communication skills, interpersonal skills, and strong organizational skills including attention
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library. • Knowledge of collection development and methods for increasing diversity and equity in library collections and services. • Experience designing and delivering outreach and information literacy
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lead in directing and coordinating the work of lower-level staff. Guide, train and advise lower-level researchers and students on techniques, methods and procedures. • Plan, assign and review work
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, validate, and operationalize advanced spatial and spatio-temporal statistical methods for mapping and analysing neglected tropical diseases (NTDs). These methods will enhance the precision of disease
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Semester at the discretion of the Dean of the School of Trade Technologies.Dates of employment: Spring Semester 2026 (January 12 - May 15, 2026)If renewed: Fall Semester 2026 (August 24 - December 12, 2026
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Posting Summary Logo Posting Number RTF00285PO25 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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., Vassali, M. et al. Dissecting cell membrane tension dynamics and its effect on Piezo1-mediated cellular mechanosensitivity using force-controlled nanopipettes.Nat Methods 21, 1063–1073 (2024). https
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charts, graphs, and other visual elements to communicate insights clearly and drive action. Promote awareness of data quality issues and share best practices for data collection and management contingent