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molecular genetics and transformation, enzyme assay techniques, proteomics and plant phenotyping. The successful candidate will possess a background in molecular biology and biochemistry and have a strong
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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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. This project uses zebrafish as a model to identify the signals that recruit regenerative cells to the site of injury. Genetic and pharmacological inhibition of signalling pathways will be used to identify key
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/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
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, wheat and rice. Who we are looking for We seek highly motivated students with a background in plant molecular biology, cell biology, genetics, or developmental biology. Applicants should hold, or be
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. Further characterisation of these fibroblasts and comparison between different types of HNC (oral, oropharyngeal and laryngeal) has the potential for therapy as fibroblasts remain genetically stable unlike
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intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction from data
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complexity, classical control techniques cannot be easily applied because of computational bottlenecks or an absence of suitable prediction models. Distributed control approaches have been conceived to handle
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Computational Fluid Dynamics modelling of free surface flows over packing materials in a CO2 absorber School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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, including Arabidopsis, wheat and rice. Who we are looking for We seek highly motivated students with a background in plant molecular biology, cell biology, genetics, or developmental biology. Applicants