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experience — including a strong track record in control‑test tuning (e.g. reducing false positives while maintaining detection), managing versioned change/evidence registers, and producing process guides and
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, please document any previous simulation lab experience. Recruitment Contact Information: HR 479-788-7080 All application materials must be uploaded to the University of Arkansas System Career Site https
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background in computational astrophysics. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5274-MARANG-018/Default.aspx Work Location(s) Number of offers available1Company
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, we meet regularly, share ideas and knowledge, and you will receive the support you need to evolve as a scientist. Job requirements In order to be successful, you bring: MSC in Computer Science, Physics
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Assist with running simulations using an already developed computational model Support parametric studies by modifying input conditions (Glass furnace wall thickness, and furnace materials configurations
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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Engineering, Physics Engineering, Mechanical Engineering, Chemical Engineering, Industrial and Management Engineering, or related fields, enrolled in a Master’s degree.. OR Graduates, in the area of Electrical
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Scientific disciplines: Physics
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engineering, physics, systems pharmacology, or related quantitative discipline. Strong experience in mathematical modeling and simulation, with formal training or demonstrated experience in: Quantitative
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Intelligence, or Cybersecurity, or closely related fields, and with a suitable scientific and professional curriculum may apply. The candidate(s) must be enrolled in a MSc program - art. 6º, n.4 b) https