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new collaborations within the centre. You must hold a PhD (or near completion) in statistical genetics, functional genomics, computational biology, or a related field together with proficiency in
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Role Description Department We are seeking an experienced mathematical modeller. Our group is developing a range of advanced genetics-based methods for controlling mosquito-borne diseases, based
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candidate will lead computational lab analysis work across multiple projects, largely focussing on the perturbation of skeletal muscle cells (myofibres) during periods of environmental and/or genetic
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background in mathematics, statistics, population genetics, phylogenetics, epidemiological modelling, or machine learning. Highly motivated candidates with some, but not all, of the skills requested will be
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, including in medicine, biotech, and fundamental research. SpyTag is a genetically encoded peptide created by the Howarth lab, which forms an irreversible covalent bond to its protein partner SpyCatcher
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candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities
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international initiatives. To be considered, you must hold, or be close to completion of, a relevant PhD/DPhil in one of the following subjects: computational genomics, genetic or molecular epidemiology, medical
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perform genetics, gene expression, and phenotyping aspects of the project. Key responsibilities: To understand and convey material of a specialist or highly technical nature to the team or group of people
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work closely with lab members but with a focus on EV-associated fungal proteins. They will assist in protocol and technique development and use reverse genetics for functional analysis of EV candidates
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motility apparatus through single molecule fluorescence imaging approaches. Underpinning genetic and biochemical experiments will also be required. The project will build on our recent work in this area