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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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experiments and computational/bioinformatics analyses. Generate, process, and analyse multimodal datasets including immunohistochemistry, multiplex imaging, and spatial transcriptomics, integrating findings
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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samples at particular timepoints (specifically Drosophila) that may require collection, processing and imaging outside normal working hours, and limited access to specialised equipment such as microscopes
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bioinformatics analysis skills Essential Application/Interview Significant leadership experience in neurology teaching and research Essential Application/Interview Proven track record of producing high quality
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Identifying the neural processes underlying skilled anticipation in sport School of Psychology PhD Research Project Self Funded Prof Richard Rowe, Prof E Milne Application Deadline: Applications
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that you reference the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD in bioinformatics, computational biology, genomics or a
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. Isolate cells from atherosclerotic plaques and prepare samples for single-cell RNA sequencing. Perform bioinformatics analysis of single-cell RNA sequencing data to identify novel EV-related pathways and
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of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant