27 parallel-processing-bioinformatics-"Multiple" Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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foundation in fundamental biofilm research, microbial community assembly and manipulation, and biofilm reactor operation is essential. Experience in metabolic engineering is desirable. The successful candidate
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experimentation and thermodynamics calculations. Establish a high-throughput bulk materials processing route to enable efficient characterisation and parallel testing of multiple compositions. Develop a high
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Innovation (UKRI), focusing on populations with multiple long-term conditions. You will contribute to a social care initiative, developing and testing an AI-informed digital tool to help individuals with
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demonstrate knowledge and understanding of one or more of the following subjects: high voltage engineering, dielectric materials, materials ageing processes, high voltage electrical testing, analytical and
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are developing a communication guide delivered by physiotherapists to improve self-management support for older people living with multiple long-term conditions and their carers in the home setting
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, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows; Excellent work planning and issue resolution skills; Strong technical, written, and verbal
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the opportunity to expand their skills in bioinformatic analyses. The project will focus on the identification of plant genes that can be linked to the host’s microbial community structure and function
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desirable. This highly collaborative project will involve multiple research visits to academic partners within the UK and abroad up to 30 consecutive days and up to 90 days per annum for joint research and
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. You will have experience in microscopy, fluorescence-activated cell sorting and related techniques for microbial single-cell analysis, and in bioinformatics. You are highly organised and driven, you
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responsible for research on distributed query processing and information retrieval for text and RDF files. Experience in Linked Data and Semantic Web technologies is essential, while familiarity with approaches