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Field
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High-in-demand technical (bioinformatics, molecular genetics, microbiology, phenotype engineering) and transferrable (critical thinking, ethics, Open Research) skills. Embedded in thriving, respectful
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genetic adaptations (‘genetic swamping’). Training The student will receive broad training in molecular biology, historical DNA, genomics, bioinformatics and population genetics. The student will take part
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, bioinformatics, and statistical modelling in R. You will also gain experience in critical thinking, scientific writing, and presenting your research. Transferable skills for academic and non-academic careers will
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biology, or analytical workflows. Interest in single-cell analysis, cancer biology, and translational research. Basic level expertise in computational biology (e.g., bioinformatics, machine learning), with
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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
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biology and bioinformatics, as well as in Machine Learning (including Large Language Models). Good understanding of evolutionary and molecular biology concepts, and good statistical (data analysis) and
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to training courses, seminars, and mentoring opportunities. You will also work closely with Dr Ellen McDonagh's team at Open Targets / European Bioinformatics Institute. You should have strong organisational
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mobility for maximum enzymatic activity on cellulose and other carbohydrate polymers. Methods: Bioinformatic (sequence and structure based) selection of CBMs and LPMOs. Structure-based protein engineering
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environment and uses state-of-the-art techniques spanning a broad range from immunology, cell and molecular biology, (spatial) single cell omics and bioinformatics. RESPONSIBILITIES: Design and conduct
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interdisciplinary project, combining molecular biology, immunology, genetics, and advanced bioinformatics, working between the Bateson Centre for Disease Mechanisms, School of Biosciences and the Medical School