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point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics, spatial biology and AI/ML projects. We co-lead the Applied Bioinformatics MSc, run
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alongside computational biology approaches to map epigenetic changes driven by WNT/GSK3 signalling in ESCs. This collaborative project offers access to world-class expertise, state-of-the-art resources, and
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University of Brighton | The City of Brighton and Hove, England | United Kingdom | about 15 hours ago
funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description UNIVERSITY OF BRIGHTON Research Fellow School
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these influence immune function and disease. The project combines biochemistry, molecular and cellular biology, and in vivo models to deliver a comprehensive picture of immuno-metabolic function during inflammation
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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fungal biology and drug resistance. The candidate should demonstrate a good understanding of molecular microbiology, and have excellent communication skills. They will be expected to help develop new
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meet the following essential criteria: Have or about to obtain a PhD degree in Computer Science, Computational Biology or other relevant discipline (*must be obtained within 3 months of commencement of
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new computational models, techniques and methods Undertake management/administration arising from research
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-time for 3 years. The successful candidate will have experience with cancer drug development, handling computational biology, proteomic and transcriptomic data, working with patient and animal-derived
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to the Director of the HAB and working in close partnership with the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis