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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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future data management / 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
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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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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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, 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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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
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, Food Chemistry and Technology, Biotechnology, Chemical Engineering, or a related field. *Proven experience in bioactive compound extraction, and bioactivity testing. *Experience in process optimization