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About the role The Department of Biology is seeking to recruit a Research Assistant for 1 year. This post is financially supported by the funds from the Royal Society awarded to Dr Jani Bolla
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of deep learning, drug design and engineering biology. Your skills and attributes for success: Strong track record in machine learning or statistical learning applied to biology, preferably in protein
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presentation of data/papers. To be successful in this role, it is essential that you hold a degree in Biochemistry, Cell/Molecular Biology or related subject, together with a relevant laboratory experience. You
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will develop new ways to interrogate a recently generated transcriptomic dataset and to model the cell neighbourhoods. You will hold (or soon to be awarded) a PhD in Quantitative Biology. A proficient
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models. A number of biochemistry, histology and molecular biology techniques will be employed using animal tissue and in vivo rodent experimentation, as well as in vivo and ex vivo imaging. The post holder
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Institute are looking to attract a motivated experienced Biologist to join their expanding team at Cardiff University. The successful candidate will have experience in cell biology of lysosomes, endosomes
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of Biosciences. This BBSRC funded project aims to address one of the missing pieces in the cell interactome: protein self-association. Protein-protein interactions (PPIs) play a major role in biology, with
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About the role The Department of Social Policy and Intervention wishes to appoint a full-time Senior Departmental Lecturer in Evidence-Based Social Intervention and Policy Evaluation (EBSIPE). We are searching for an experienced candidate with a particular focus on methods for...
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will be expected to have significant experience in bioinformatics, evolutionary biology, virology, biostatistics, computer science, or a related discipline. This position is full time and funded until 31
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these exciting recent studies to examine the biology and exploitability of these observations in considerably more detail. The aim of the research is to determine the potential of using anaerobic fungi with