23 parallel-processing-bioinformatics Fellowship research jobs at Nature Careers in United Kingdom
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(where possible) in BioModels and other repositories Generation of synthetic data to represent rare disease patients that can be shared You have A PhD in bioinformatics, physics, or a related data
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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The responsibilities may include some but not all of the responsibilities outlined below. Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project
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proficient with microbial genetics, molecular microbiology, basic tissue culture and molecular biology techniques. Prior experience with bioinformatics (microbial sequencing and proteomics) would be
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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be at Research Assistant Grade 6B, with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. About you The successful candidates : Have a PhD in bioinformatics/single
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to evaluate and validate naïve pluripotency. Transcriptomics and network inference will be supported by computational/bioinformatics members of the team. Chimaera studies will be in partnership with our
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Interpretable AI concepts to make the postprocessing transparent and to improve the understanding of processes during heavy precipitation events over India. Implement the ML postprocessing methods on high
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(or capacity to develop understanding) in relevant field Good programming skills in a data processing and visualization language such as Python, MATLAB, R or NCL Experience with UNIX/LINUX and High
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processes to recover the carbon fibre from carbon fibre waste. These carbon fibres can replace virgin carbon fibres with almost no loss in strength and the same electrical, thermal and corrosion- resistant