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contribute to a multi-phase translational project, including: -Experimental validation using in vitro vascular models -Non-invasive measurements in human volunteers under simulated microgravity conditions
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the following is desired: - Agentic and sequential decision-making for autonomous experimentation, including active learning and optimal experimental design - Generative and probabilistic modeling
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water models for accurate and efficient simulation of free-surface flows. This includes model derivation, model analysis, and development and implementation of numerical methods. For more information, see
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Description We are recruiting a contract researcher to join a project involving the development of predictive models for simulating material forming processes, within the mechanical engineering department
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Postdoctoral Fellow Position in Quantum Optical Physics: Theoretical, Simulation, Modeling for Experimental Design Title: Postdoctoral Fellow, physics Appointment Status: Non-tenure track Department: Department
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science » Computer systems Computer science » Modelling tools Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 May 2026 - 23:00 (Europe/Paris
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to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC
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excellence of NTU and attracting interest of more industrial collaborators. Key Responsibilities: Develop a new and robust numerical model with lattice Boltzmann method to simulate flow and heat transfer with
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Modeling and Simulation of Energy Storage Units interacting with the electric grid - 2026_CDR_DENG_1
storage system (understood as a whole, considering the cells, the BMS, the PCS, and the auxiliary systems), as well as their modeling in mathematical optimization tools and, finally, in dynamic simulation
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on a microeconomic theoretical foundation, applied econometrics and economic modelling to analyse both uptake and consequences of uptake. Furthermore, the project will use a variety of data including