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. In case of doubt, the Selection Committee is entitled to request any candidate to present further documentation to support their statements. False statements provided by candidates are punishable by
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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
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their statements. 20. False statements provided by the candidates shall be punished by law. 21. Both admitted and excluded candidate list and final classification list shall be published at the address of REQUIMTE
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groups to apply. Applications should be sent by e-mail, together with significant documents (Your application should include a cover letter, your CV, a copy/scan of your degree and course transcripts
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8 and 9, namely: a) Electronic application form for the competition procedure; b) Copy of certificate or diploma of the PhD degree, or recognition/registration of the PhD degree; c) Detailed
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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maritime and autonomous. You will have a prior background in naval architecture, ocean engineering and mechanical engineering. You should be already familiar with the majority of simulation and experimental
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safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South. Posting Specific Questions
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Europe | about 2 months ago
on MCF technology in Europe. Training of DCs will exploit multidisciplinary consortium expertise spanning design, modelling and simulation of photonic systems, sensor systems, signal processing and device
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instruments and equipment. Lead the construction of a flow chemistry system simulating prebiotic chemical environments. Investigate the chemistry of iron and sulfur in relation to origins of life. Train