39 modal-analysis-artificial-intelligence Fellowship positions at University of Nottingham
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. The applicant will play a key role in the day-to-day management of a field trial collecting data on adult dairy cows and calves. The applicant will also be responsible for the delivery of the analysis
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PhD (or equivalent) in food science, nutrition, or a related discipline, with experience in in vitro digestion, specifically using the INFOGEST static digestion model, nutritional analysis (minerals
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manipulation of Pseudomonas aeruginosa and bacterial biofilms, including molecular biology such as the construction of reporter fusions, mutagenesis and transcriptomic analysis. Extensive experience in the study
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. The successful candidate should have extensive experience in mammalian cell tissue culture, high-throughput BRET / FRET assays, the analysis and visualisation of concentration-dependent and kinetic data, as
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and bonding techniques, in silver nano-sintering processes and in testing and analysis of semiconductor packages and possess a consistent track record of published research in reviewed publications. You
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches
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/computational biology/molecular biology/genomics or related area. The successful candidate will have considerable experience in computational bioinformatic analysis (R, Python or equivalent) of omics data and
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volunteer pilot-study in healthy participants involving intake of sugar and alcohol, neuroimaging, collection of biological samples and subsequent analysis using molecular biology techniques. You will be
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experiments and test candidate therapeutics on leukaemic stem cells isolated from primary patient samples. You will be responsible for carrying out laboratory research, data analysis and presentation of results
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience