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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Nov-25 Location: Chapel Hill, North Carolina Categories: Academic/Faculty Computer/Information Sciences Internal
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Responsibilities: Build and analyze dynamical system models (multiscale, QSP, PBPK, PK-PD). Apply numerical methods, optimization, and parameter estimation to calibrate models to experimental/clinical data. Perform
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electrochemical scanning probe microscopy including scanning tunnelling microscopy. Main Tasks and responsibilities: The successful candidate will combine classical electrochemical methods with in situ
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models
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The postdoctoral researcher will work with computer-based analytical methods and large databases to develop theory and methodology for utilising aggregated data from archaeology, genetics, and linguistics, thereby
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hyperparameter optimization and conformal prediction methods; The online monitoring of model reliability and performance indicators in dynamically changing environments; The integration of synthetic data from
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methods with in situ characterisation techniques such as in situ Raman spectroscopy (including SHINERS) and electrochemical mass spectrometry. This combination will be used to investigate the structure
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
Engineering, or related. Strong experience in ODE/PDE modeling and simulation (MATLAB, Python, or R). Experience withnumerical methods, optimization, parameter estimation, and sensitivity and uncertainty
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an entirely new study of these glossaries, offering a broader approach to their analysis in context. Highlighting their composition and dissemination makes it possible to better evaluate the working methods
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multi-modal analytics, privacy-preserving methods, and resilience-by-design systems methodologies. . Having experience in foundational disciplines in engineering and science is a plus. We seek to hire a