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Life Expectancy aims to analyse how multiple social determinants of health intersect in shaping lifespan. This project aims to solve the methodological challenges in estimating and forecasting lifespan
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experience in fish vaccine research, including utilizing long-read sequencing and transcriptomic methods to characterize vaccine-induced immune responses. Research experience within microbiology, molecular
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up analytics including HPLC, LC-MS and GC-MS Protein expression, purification and characterization using biochemical and biophysical assays Variant identification using next generation sequencing
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, including working with antisense oligonucleotides and RNA binding small molecule drugs for modulation of splicing, as well as hands-on experience with Next Generation Sequencing technologies and
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of antibiotics against human pathogens. You will work on antibacterial assays (against Klebsiella) and use genome sequencing and mining to select the most potent strains and use a range of elicitor techniques
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generation sequencing Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners
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complex natural soils. You will work with chemotaxis experiments, long-read sequencing, microbial community analysis, and LC-MS-based chemical characterization. The PhD project is part of the research
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the project head to discuss their PhD proposal prior to application, to ensure that there is reasonable alignment between their proposal and the overall project framing. Requirements and programme structure PhD
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explore large genomic datasets. Your tasks will include quantitative data analysis, sequence processing and evaluation, and pipeline development and automation. It is expected that you will lead the writing
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are eager to contribute to this rapidly developing field. Our research spans multiple disciplines, and we welcome applicants with backgrounds or interests in areas such as quantum optics, nanofabrication