6 genetic-algorithm Fellowship positions at University of Nottingham in United Kingdom
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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
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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
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: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Tensor networks - Quantum machine learning - Computational complexity - Topological order The main responsibility
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three-spined stickleback fish, using a mixture of field work, field and behavioural experiments, classical genetics and bioinformatics. The role holder will investigate the loss of male parental care in
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in quantifying antimicrobial sensitivity are also required. It would be very advantageous to have experience in the genetic manipulation of Pseudomonas aeruginosa and the use of in vitro virulence
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integrate studies on root-soil-microbe interaction, genetic analysis and omics techniques. This work will leverage expertise from root biologists, soil biophysicists, and nodulation signaling specialists