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work environment Learn more about CQT at https://www.cqt.sg/ Job Description The CQT S14 team is looking for candidates with strong background in Software Engineering, Computational Physics or Computer
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. - Strong programming and system development skills and experience with quantum computing software architectures or middleware. - Strong expertise with software testing, benchmarking, and performance
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equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge
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& conduct research on model validation using burning test data Actively participate in the development of a software tool for modelling electric-vehicles (EVs), power-assisted bicycles (PABs) and related
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architecture, component selection, and experimental setup. iii. Conduct lab and site tests to evaluate the performance of NQR prototype. iv. Generate design documents and test documents at every stage
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, or embedded software tools. Integrate controller logic with the microgrid model and validate performance under different simulated conditions. Conduct testing of control strategies under various operating
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hull modular units Validate connector performance through simulations and physical testing. AM Process and Validation: Oversee the AM process and testing of 3DP ship hull and connector system. Data
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have experience in at least three of the following software: ADFlow, pyOpt, TACS, Hypermesh and Tecplot. Academic degrees obtained in foreign countries shall be registered by a Portuguese institution
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-wave and multimessenger signals and to explore challenging regimes of parameter space. Unit URL https://www.uidaho.edu/science/academics/physics Position Qualifications Required Experience Demonstrated
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 days ago
manufacturing and structural analysis by simulation in the testing pyramid for certification of aeronautical structures, increasing the reliance on digital technologies (data or simulation driven) to ensure