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Research Institute (FBRI) at Virginia Tech Carilion (VTC). About the Lab The lab integrates state-of-the-art neural recording technologies, complex cognitive tasks, and computational models to investigate
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material flow analysis, life-cycle assessment, and techno-economic screening to evaluate selected symbiosis pathways. Preparing technical briefs, maps, diagrams, scenario portfolios, and visualizations
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the BioPermit information technology system and electronic database. Build skills in data management, analysis, and visualization of trends related to infectious biological-agent importation. Gain exposure
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work environment. Core responsibilities include: Examining the impact of isolationist strategies on scientific production and impact Leadership in research design, analysis, and dissemination
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Demonstrable experience in qualitative research, including interviewing patients Experience of qualitative data analysis using NVivo software High level analytical capability Ability to communicate complex
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to the design, conduct and analysis of research under the direction of Theme Leads, leading elements of it; Conducting data analysis using appropriate software; About You We encourage applications from
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nonlinear vibrations of complex structures. About you This position would suit a motivated candidate with a good background and degrees in Mechanical, Automotive Engineering, Aerospace Engineering, Materials
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
project is develop computational models for the high-fidelity finite element (FE) analysis of the behaviour of advanced thermoplastic-based composite materials. These models will effectively link
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. Working closely with Professor Gregory Warr and his team, the successful candidate will have experience in the design, execution and analysis of neutron and X-ray small-angle scattering experiments
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of a scientific mentor, you will gain experience and learn to conduct rigorous data analysis and cross-project data synthesis, identify critical technical and data gaps, and determine future applied