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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
for one of the following areas of investigation: Numerical analysis of helical piles under lateral loading – involving the investigation of the behaviour of helical piles through the back-analysis
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for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik
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(JCNS-1) Project 3: Combined X-ray and neutron single-crystal high-pressure diffraction in diamond anvil cells (JCNS-2) Project 4: Experimental and numerical investigation of the heat flow generated by
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, testing, and analysis of resilient and sustainable geotechnical systems using centrifuge modeling. The work will bridge advanced experimental testing with complementary numerical simulation to generate
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direction, this position is responsible for analysis, architecture, design, implementation, maintenance and high-level technical support of assigned clinical systems and clinical applications. This position
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, version control) and numerical workflows. Experience programming for data analysis and model workflows (e.g., Python, MATLAB; FORTRAN/C familiarity for model configuration). Demonstrated verbal and written
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transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting
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diagnostic devices, anatomical pathology whole slide imaging scanners, and tissue slide stainers. Under limited direction, this position is responsible for analysis, architecture, design, implementation
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DISCIPLINE: Environmental Engineering, Mining and Power Engineering OR Mechanical Engineering DATE OF PUBLICATION: 27.03.2026 DEADLINE FOR SUBMITTING OFFERS: 12.04.2025 WEBSITE: https://www.komag.eu/praca KEY WORDS
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full