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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 26 days ago
walls; iii) Experimental and/or numerical characterisation of the mechanical and seismic behaviour of the proposed connection solutions; iv) Development and calibration of numerical models representative
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experience in organic synthesis and chemistry, including characterization methods (e.g., Nuclear Magnetic Resonance, NMR; High-Performance Liquid Chromatography, HPLC). Research experience in the area of
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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) therapies, diagnostic techniques, and preventive methods that—due to a lack of industrial interest—would not reach patients without governmental funding. The abstract of the funded project is provided below
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Role: Postdoctoral Research Associate in Numerical Analysis Grade and Salary: Grade 7 - £37,694 - £47,389 FTE and working pattern: Full-time (35 hours per week), Fixed for 4 Months Rewards and
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. in Chemical Engineering or a closely related field. Deep knowledge of chemical kinetics, thermodynamics, and numerical simulation methods for reacting systems. Demonstrated expertise in scientific
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-funded research project is to improve seismic methods of cavity detection with Full Waveform Inversion. The project entails the acquisition of a 9C-dataset at a test site in a mine and the processing
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simulation. A significant part of the work will involve scientific programming, development of numerical methods, and in-depth physical analysis of flow phenomena. The ideal candidate is passionate about new
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experimental data with numerical models. Ability to use specialised software and computational tools supporting CFD modelling, as well as basic knowledge of model verification and validation methods using
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the exclusion decision, notifies the excluded candidates by email with delivery receipt, subsequently beginning the application of the selection methods to the admitted candidates. 9. Method(s) and evaluation