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and with the 2AT team at Institut Pprime to develop an innovative jet-noise prediction tool. The researcher will develop a novel jet-noise prediction tool based on a resolvent analysis of the Navier
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on numerics and analytics, an interest in modeling, and a genuine interest in engaging in the biological system and working closely with our collaborators Job requirements Masters in Physics
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, the student will have the opportunity to: investigate the key scientific and engineering challenges involved in designing sorbents for electrochemical CO2 separation, including the analysis of existing
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). You will conduct research in one or more of the following topics Crystallization of polymers Analysis of the structure of semi-crystalline polymers Mechanical and thermal properties The work involves
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the duration of 15 minutes, will be classified on a numerical scale from 0 to 100 points, applying the following parameters and criteria evaluation: a) ACS: Attitude and critical sense; b) MTV: Candidate
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, Aeronautical, Civil, Chemical Engineering, Applied Mathematics or Physics. Knowledge, skills: Fluid mechanics; desirable: wall-bounded shear flows, aerodynamics. Numerical analysis, in particular Computational
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numerical modelling to investigate vapour-liquid-solid phase transitions in aircraft exhaust plumes under controlled conditions, with particular relevance to emerging low-soot propulsion technologies such as
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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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and quantity bioaerosols To employ data analysis and bioinformatics to extract bioaerosol characteristics To apply source tracking tools to identify the sources and quantify the contributions To employ
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research experience. Additionally, the applicant should preferably have experience with: working with children; posture/physical activity research; sophisticated numeric data analysis. Application process