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Field
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, FDM, and/or FVM will serve you well as you develop advanced numerical methodologies and software frameworks for the simulation of fluid-structure interactions of magnetoactive polymers, contributing
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of buildings with standard lightweight façades. Development of an innovative numerical model in EnergyPlus that allows for the simulation of buildings with dynamic thermal insulation systems. Implementation
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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morphology from URA and greenery inventories from NParks—to support neighbourhood-scale simulations using the Open Foam and urbanMicroclimateFoam CFD models. These simulations evaluate how urban form
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Minimum qualification of a Master’s degree, with a PhD preferred, and demonstrated expertise in coral reef data analysis, field studies, and coral reef simulation modelling. Coding experience in Matlab or R
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 21 hours ago
the gasification of solid waste to obtain H2, and studies its impacts and use in various sectors. To do this, ML and numerical simulation will be applied, optimizing the operating conditions to obtain a H2-rich gas
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the modelling and control of microgrids Previous experience in real-time simulation and Power Hardware In the Loop test systems. At least one paper in conference or journal. Minimum requirements: Solid experience
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at The University of Texas at Austin (UTIG) invites applications for a research fellow position to study tropical paleoclimate using corals and cave speleothems, as well as climate simulations. UTIG is one
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and in vitro models, with a particular focus on the tumor microenvironment and therapeutic responses. Supported by the Mayo Clinic Florida Neurosurgery BRIDGE Biobank, the postdoctoral fellow will have
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and development activities in the fields of atomistic simulations, including density functional theory, machine learning, and molecular dynamics. The work involves theoretical and experimental research