52 proof-checking-postdoc-computer-science-logic PhD positions at University of East Anglia in Uk
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. genetics, molecular biology, evolutionary biology) or a quantitative science (e.g. computer science, statistics, physics), and have strong interests in genomics, data analysis and evolution. The Norwich
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their host plant. Use cutting-edge molecular biology and genomics, we will try to solve a decades-old mystery in plant pathology. Many plant disease-causing fungi lose their ability to cause disease
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training in: Biocatalysis and enzyme screening. Natural product derivatization and purification. Analytical chemistry (NMR, LC-MS, HPLC) Mammalian cell-based pharmacology. Multidisciplinary collaboration
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), computation (bioinformatics, machine learning, statistical analysis), working with animals (radio-tracking, animal handling/sampling), and deep knowledge of evolutionary biology and gerontology. The Norwich
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the laboratory of Dr. Phil Carella, located in the Department of Cell and Developmental Biology at the John Innes Centre. It provides an exciting opportunity to explore disease resistance in the emerging model
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advantage of advances that we have made in this area. The successful candidate will be trained in an array of biochemical and molecular biology techniques (e.g. cloning, recombinant membrane protein
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-of-the-art technics in cell biology, genetics, molecular biology and proteomic, this project aims at characterizing a novel signalling pathway modulating root nodule symbiosis. The insights gained from
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project provides the unique opportunity for the successful candidate to receive broad training on cellular and molecular biology techniques. The project will be supervised by two molecular biologists
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metagenomic datasets. This project provides an exciting opportunity to discover new bioactive molecules and develop skills across informatics, biology and chemistry. Applications are welcomed from students who
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both laboratory (sequencing, qPCR, phage biology) and computational/analytical areas (bacterial and phage phylogenomics, genome-wide associations). During the PhD programme the student will spend time at