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diagnostics, a strong publication record, interdisciplinary collaboration, and data analysis expertise—particularly in diagnostic test accuracy. Prior success in securing external research funding and
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(e.g. spectroscopy or biophotonics) for medical diagnostics, a strong publication record, interdisciplinary collaboration, and data analysis expertise—particularly in diagnostic test accuracy. Prior
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. The successful candidate should have extensive experience in mammalian cell tissue culture, high-throughput BRET / FRET assays, the analysis and visualisation of concentration-dependent and kinetic data, as
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches
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scientific articles for publication in leading peer-reviewed journals. Candidates must hold, or be about to obtain, a PhD in engineering, applied mathematics or a related subject area, with a major component
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and bonding techniques, in silver nano-sintering processes and in testing and analysis of semiconductor packages and possess a consistent track record of published research in reviewed publications. You
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
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activities include the development of computational frameworks for calculating defect properties, and analysis of materials-defect systems towards identifying candidates for quantum technologies. This will
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-economic assessment and life cycle analysis methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data