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to applications and applied research. Project description Your work will be embedded into a research project focused on modeling parasitic currents in electric drivetrains for industrial vehicles. The project aims
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its current wording; FCT Regulation forResearch Fellowships, available at https://drh.tecnico.ulisboa.pt/files/sites/45/despacho_8532_regulamento… . Context, Workload and Schedule Workplace: DEEC
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Research Associate positions currently available at the University of Idaho in the Institute for Modeling Collaboration and Innovation (IMCI). These postdoctoral researchers will contribute to our modeling
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, focusing on parasitic modelling and electro-thermo-mechanical effects that impact circuit behaviour at extremely low voltage and current levels. Where to apply Website https://careers.polito.it/ Requirements
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
mechanism in many diseases. However, current computational approaches remain largely limited to static representations of biomolecules, limiting our ability to fully understand conformational heterogeneity
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for modeling, analyzing, monitoring, robotic actuation, and control of the fluid flow in plug valve for liquid metal. Research topics Control of an existing robotic manipulator for actuation of the plug valve
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also be expected to contribute to other COMEA projects as required. Learn more about the COMEA research group . Where to apply Website https://www.kuntarekry.fi/en/jobs/research-engineer-cfd-and-model
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, those materials experience a complex combination of fluid flow and interface phenomena, which dominate heat- and mass-transfer limitations. Traditionally, we reduce the complexity of the underlying models
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node embedding + random forest model on open access clinical and biomedical data to extend current capabilities for predicting the probability that a drug treats a disease; Maintain the ARAX code base
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by Renew Risk Ltd. (https://www.renew-risk.com/ ), offering opportunities to work with real offshore wind farm models and industrial datasets while addressing real-world challenges in collaboration