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laboratory equipment used for all aspects of cell/molecular biology/biochemistry. Additionally, you will collaborate in the preparation of scientific reports, attend appropriate scientific seminars and act as
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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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(e.g. cell biology/ immunology). A background in patient-derived cancer co-culture models would be beneficial. They should be able to work both without supervision and as part of a team and will be
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supervisor - to translate this new knowledge into clinically-actionable results whilst improving our fundamental understanding of the underlying disease mechanisms and basic mitochondrial biology. You will
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hold a degree in a medical/biological subject or equivalent, and have previous research experience, ideally in a similar research field. Experience with cell and molecular biology techniques, cancer cell
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We are seeking candidates with either extensive technical experience in molecular biology and tissue culture techniques or a strong willingness to learn and become developers of new therapies, with
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biochemistry, cell biology, chemistry, biotechnology or related scientific areas together with experience of laboratory support in a life science laboratory. You will also have experience in the preparation
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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