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of virtual models (digital twins) for studying and detecting abnormal operating conditions (predictive diagnostics of anomalous behaviors) in distribution transformers using the finite element method (FEM
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to the project Preferred Qualifications: Experience with finite element methods, molecular biology techniques, or xenograft mouse tumor models Experience in 3D cell culture, traction force microscopy
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education and training of Pharm.D. graduates. A key element of the program’s success is preparing Fellows to meet evolving workforce needs across various sectors of the pharmaceutical industry. Fellows have
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
Skip to Main Content Favorites : Recently Used Careers Worklist : Main Menu : Search Menu: Menu not sorted. Click to sort in ascending order. Self Service Worklist Reporting Tools Careers : Recent Search Results Refine Search Search Prompt Popup mrs Actions List Popup Home Search Add To Add To...
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of the Recovery and Resilience Plan of Portugal, in its component 12 – Sustainable Bioeconomy, Investment TC-C12-i01 – Integrated Projects, framed in Regulation (EU) 2021/241 of the European Parliament and of
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structure for integration into cardiac catheters. Conduct finite element analysis (FEA) to simulate force/strain responses under clinical conditions. Assist in the setup and execution of in-vitro and in-vivo
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research experience in fermentation processes and ingredient formulations. c) Previous participation in applied research projects and/or experience in scientific communication and dissemination activities
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education and training of Pharm.D. graduates. A key element of the program’s success is preparing Fellows to meet evolving workforce needs across various sectors of the pharmaceutical industry. Fellows have
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(two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling
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. This post is suitable for a trainee interested in cardiology research with the interplay of themes of amyloidosis, imaging, heart failure and AI. You will be registered for the Doctor of Medicine (MD) degree