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asymptotic analysis and other perturbation methods, and numerical, i.e. an existing in-house code will be modified to achieve the objectives. This project offers the unique opportunity to develop strong skills
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Engineer to conduct research on air traffic management (ATM) algorithms and
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related fields. Background on numerical methods and/or programming skills will be valued. Starting date: PhD contract should start as soon possible, in any case, no later than September 1st, 2026
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, Physics (computational or solid-state focus), or a related field Strong interest in additive manufacturing, topology optimization, computational design, and process modelling Background in numerical methods
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programs. Expertise in a range of engineering-related tools and applications, to include MatLab/Python, EnergyPlus, Labview, Excel, including libraries for conducting numerical analysis of time series data
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programs. Expertise in a range of engineering-related tools and applications, to include MatLab/Python, EnergyPlus, Labview, Excel, including libraries for conducting numerical analysis of time series data
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of numerical simulation is a plus. Good oral and written communication skills in English (delivering presentations, writing scientific articles). Website for additional job details https://emploi.cnrs.fr/Offres
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; machining tools such as grinders, drills, milling machines, turning lathes; mechanical principles involving tolerance, stress, strain, friction, and vibration; methods and practices of fabrication; applicable
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) Laboratory in the Department of Pathology at University of Colorado Denver. The MT will be involved in various laboratory procedures including analysis of clinical samples by molecular biology methods with a
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cover will be constrained using Raman spectroscopy of carbonaceous material (RSCM method), complemented by bottom-hole temperatures (BHT) and heat flow data to define present-day thermal gradients