-
-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
-
institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
-
10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
-
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
-
and genetic regulation of obesity, addiction and the gut-liver-brain axis. You will be working within the GI and Liver theme of the NIHR Biomedical Research Centre and the Biodiscovery Institute (https
-
will use genetical, biochemical and physiological approaches to understand the biochemical basis of altitude adaptation through oxygen-sensing in plants, and its physiological consequences. This exciting
-
relevant subject area cell division – molecular parasitology, yeast genetics, biochemistry, cell biology, microbiology, genetics etc. The experience in cutting edge cell biology, proteomics and phosphor