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to refereed journals and to attract external research funding. What you would be doing Main Duties: Using characterisation techniques such as ToF-SIMS, SEM, etc. to investigate rechargeable batteries. Analysis
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and share knowledge of endangered archaeological sites across eleven African countries using a combination of remote sensing, historical map analysis, records-based research supported by ground
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involving complex methodologies and statistical analysis. Your responsibilities will include data management, cleaning, and analysis using advanced statistical techniques, as well as drafting reports and
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research. You will be responsible for designing and implementing proteomic data analysis, with opportunities to apply your skills to integrating this with other data types (e.g. genomic and transcriptomic
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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(mammalian cell culture, lentiviral transduction, flow cytometry and FACS, Illumina sequencing and bioinformatic data analysis. You should have (or be close to completion of) a PhD in molecular/cell biology
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The interplay of TCS with Harmonic analysis and additive combinatorics There will be opportunities for collaboration with faculty members and PhD students and to engage with the broader quantum computing and
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generation and analysis, and contributing to the development of novel methodologies. In addition, they will support the wider activities of the research group by mentoring junior colleagues, liaising with