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optimize assets in Blender, Maya, or 3ds Max for use in real-time environments. Experience working with educators to implement pedagogical principles and existing educational methods into mixed reality
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Manufacturing processes. The candidate will be responsible for the design, simulation for optimization, system prototyping, control and testing. Fixed Salary: €46,305 per annum Closing date: 12:00 noon (local
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to drive the research, support AFI and manage the programme, is to examine existing and develop future data management / governance approaches. Aim is to optimize the shared service model enabled by improved
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and to ensure optimal functioning of building systems including mechanical electrical and fire/life safety systems. They will lead the ongoing conservation and improvement of the mechanical/electrical
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/ governance approaches. Aim is to optimize the shared service model enabled by improved data sharing, deployment of digital technologies and redesigned workflows. With this project we aim to design, research
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fidelity, pore structure, and mechanical integrity to define optimal process parameters for scaffold fabrication. Task 2: Perform computational modelling and simulation studies using ANSYS Fluent to analyse
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: Application of the developed machine learning model to identify the optimal bioprinting parameters for particular bioink formulations. Part of the research will be conducted in collaboration with other doctoral
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, incorporating electronic, thermo-fluid models, and efficiency models (ii) BMS-BTMS operation policy design, which will be based on optimal control techniques and will focus on both electric power
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bioconversion efficiency. This will be achieved by engineering cofactors to increase the rates of enzymatic biological processes and optimizing the method of gas delivery. This will eventually assist
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will develop a novel modelling framework that translates climate signals to support cost-optimal long-term investment decisions, while also considering operational feasibility. The successful candidate