44 parallel-processing-bioinformatics Fellowship research jobs at University of Birmingham in United Kingdom
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for Enhanced Efficiency in PET Depolymerisation’. The project aims to address the current drawbacks of existing Polyethylene Terephthalate (PET) polymer recycling methods by developing a scalable process for its
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for the success of future Spherical Tokamak (ST) designs. The ideal candidate will possess a strong background in experimental research and be eager to examine the degradation processes that occur in fusion
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will unravel, for the first time, the role of this hydroxylated GTPase in nuclear ubiquitin biology. The findings will have significant importance for our understanding of fundamental cellular processes
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at the University of Birmingham: MISL and Cold Atom Interferometry Group. MISL is the largest academic research team in the UK working in radar, remote sensing and signal processing. MISL is a unique collaborative
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building workshops, capacity building events, co-production and user voice forums. The Centre for Care is a research centre established following a highly competitive process run by the Economic and Social
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related discipline. Solid experience in engine system modelling, simulation, or calibration using platforms such as GT-Power or AVL tools. Strong programming and data processing skills in MATLAB, Python
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requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or
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networks (e.g. protein signalling) in the material. The networks process environmental information and decide how to adapt the material in response. Artificial animate materials promise to be superior
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to assess resource requirements and use resources effectively. Understanding of, and ability to contribute to, broader management/administration processes. Contribute to the planning and organising
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build on the knowledge base already developed with regards to enhancing democratic processes, and use this as a springboard for asking how we can strengthen democratic resilience, i.e. the capacity