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science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time
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. Objectives: Characterize the hydrodynamics of the gas phase in bioreactors at different scales (20Là15m3) CFD simulation of gas/liquid flow using the Eulerian approach (two-fluid model) Comparison between
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modeling via CAD software such as COMSOL and HFSS. Design and simulation of electronic instrumentation using Spectre or equivalent and circuit layout using Altium or equivalent. Development of instrument
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-of-the-art technology. Research the current state of metal hydride storage systems and select a suitable metal hydride for your simulation Create a model of the storage system in Aveva Process Simulation and
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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Proficiency in using simulation software for process modeling (e.g., ASPEN, SuperPro Designer…). Familiarity with scaling up biotechnological processes and designing pilot-scale plants. Ability to analyze
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 13 hours ago
settings Serving as a professional role model for students Assist with the coordination of clinical activities and student schedules Participate in departmental meetings, including faculty development
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the molten pool. However, these models are computationally intensive and impractical for widespread simulations of large-scale part deposition. This project aims to develop a novel FEA-based approach
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• the numerical lattice simulations of the models in solid state physics • development of the existing C++ code library • applications of the above mentioned simulations to the description of the topological
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lab at Harvard Medical School in Boston, Massachusetts. The Brugge lab has identified populations of breast epithelial cells that carry chromosome copy number alterations (CNAs) that are among the most