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Posting Summary Logo Posting Number STA00204PO26 Job Family Financial and Accounting Operations and Analysis Job Function Budgeting USC Market Title Budget Manager Link to USC Market Title https
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, build, and experimentally validate an inverter for a 100 kW, 20,000 rpm motor. As a PhD student, you will contribute to the simulation and modeling of the inverter and its integration with the electric
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Objectives: - Completion of the characterization of nanomateriais on in vivo models of vaccination - Completion of the characterization of nanomateriais on in vitro and in vivo cancer models - Analysis
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modelling workflow, linking micro-scale 3D finite element simulations and numerical homogenisation of metamaterial unit cells to meso-/macro-scale structural models capable of delivering accurate stress
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scaled-up, optically clear model of the new dialyser. You will apply advanced techniques, specifically Particle Image Velocimetry (PIV) to resolve complex fluid flow behaviour. This role offers a unique
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clear indication of the reference of the competition/scientific field of application and enclosing the following documents: Curriculum vitae Copy of documents supporting the academic and professional
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United Nations Course to design and execute simulation exercises and mock debates to prepare the Model UN team for conference participation. Works in conjunction with the Model United Nations Faculty-of-Record
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of mathematics, to develop innovative application-oriented mathematics with a focus on data-driven modelling, simulation, and optimization, and to open new mathematical thinking spaces. MATH+ is supported by
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additional tasks include to improve our main simulation tool (Atmospheric Radiative Transfer Simulator, https://www.radiativetransfer.org/ ), to apply the derived geophysical data for verifying climate models
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POST-DOCTORAL RESEARCH FELLOW - CEVIPOL (Centre de la vie politique) – Université Libre de Bruxelles
" Scientific knowledge and skills Candidates must have: Advanced training in quantitative methods (panel data, causal inference, multilevel modeling) Strong proficiency in R Experience with panel/time-series