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of four partners in SpinENGINE project. The SpinENGINE project aims to create a new approach to computing based on emergent properties, i.e., complex, non-linear behaviour in tunable ensembles
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the environmental impacts of processes and energy systems, we develop predictive methods for Life Cycle Assessment. Our technological focus is thermal energy systems, sustainable carbon feedstock, and CO2 capture
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results and conduct analytical modelling and numerical simulations (e.g., finite element modelling) to support experimental findings and predict performance. Independently implement and execute the research
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results and conduct analytical modelling and numerical simulations (e.g., finite element modelling) to support experimental findings and predict performance. Independently implement and execute the research
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experimental methods. Develop and apply methods for demultiplexing, normalization/QC, effect-size estimation, biological inference, and predictive modeling. Contribute to biological manuscripts and methods