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, the successful candidate is expected to be involved and collaborate with other faculty in the department's innovative Bridge Experience Program (https://xl.vt.edu/programs-and-opportunities/bridge-experience.html
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fields: nonlinear PDEs, functional analysis, numerical analysis, PDE-based modeling and numerical simulations excellent command of the English language ability to teach in German and English We offer
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methods for high-dimensional PDEs. A strong background in numerical analysis and multiscale modeling is essential. Required Application Materials Applicants MUST submit their application materials
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analysis and interpretation of measurement results, interaction with numerical and physical modeling Authorship of scientific SCI publications Participation in and contributions to scientific conferences
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platforms, employing numerical simulation techniques and experimental analysis. The researcher will contribute to the implementation and preparation of innovation and technological development projects
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support responsibilities range from entry- to advanced-level. Lab Website: https://fbri.vtc.vt.edu/research/research-centers/addiction-recovery.html The duties of this role will include, though may not be
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | about 1 month ago
to research reports, data analysis, scientific documentation, and dissemination of results in accordance with project requirements. The role also involves coordinating research tasks, guiding junior researchers
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. Both positions are academic-year appointments. Position 1: Engineering Design, Numerical Analysis, and Artificial Intelligence (AI) Position 2: Mechanics, Manufacturing, and Automation Responsibilities
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postdoctoral research associate in the broad area of computational physics (https://charmnet-mmicc.github.io ). The mission of CHaRMNET is to develop novel numerical methods that allow us to overcome the curse
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between Numerical Analysis and Machine Learning, with a focus on physics-informed machine learning. The goal is to design learning strategies that embed the structure of governing physical laws, enabling