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Management Science, Information Systems Research, and MIS Quarterly. We seek applicants with a strong quantitative background, such as analytical modeling, econometrics, and/or machine learning, and a
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framework capable of accurately predicting pollutant transport and dispersion in coastal waters. By combining high-fidelity numerical simulations with data driven surrogate models, the proposed research aims
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the goal of integrating advanced modeling and simulation tools with state-of-the-art wind tunnel testing. The MAC will advance the reliability and complexity of simulations, extend and validate physics
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factors, using selected statistical–econometric tools, such as Generalized Additive Models and the Generalized Method of Moments analysis and interpretation of existing methods of estimating the costs
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the structure and resulting inundation – requires advanced modelling techniques. This research proposes to leverage CFD and DEM to develop an optimised methodology for designing and locating PBs specifically
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FTIR). Model development and testing. V - Initial grant duration: 6 months V.I - Renewal Possibility: Non-renewable VI - Funding and financial conditions of the grant VI.I - Monthly grant amount (paid
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design of tools for Cold Compaction (CC) and Friction Stir Extrusion (FSE) using CAD software. 2. Testing and validation of the different tool geometries using Finite Element simulations in ABAQUS. 3
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justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Luís Alberto Proença Simões da Silva Effective Members: Aldina Maria da Cruz Santiago, Catarina
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in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Luís Alberto Proença Simões da Silva Effective Members: Luís Manuel Cortesão Godinho, Artur Jorge dos Santos
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justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Luís Alberto Proença Simões da Silva Effective Members: Aldina Maria da Cruz Santiago, Catarina