22 parallel-processing-bioinformatics-"Multiple" Postgraduate research jobs in United Kingdom
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language processing for accessible science to contribute to the Terminology-Aware Machine Translation for Accessible Science (TaMTAS) project. The project is funded by EPSRC under the CHIST-ERA Call 2025: Science in
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this exciting programme of work, spanning multiple strands. Your experiences to date will include conducting qualitative research (qualitative data collection and management) in a health care or community setting
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this exciting programme of work, spanning multiple strands. Your experiences to date will include conducting qualitative research (qualitative data collection and management) in a health care or community setting
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of multimorbid cardiovascular disease progression. The role will involve laboratory research, data processing and analysis. About you As the successful applicant, you will have a BSc or MSc in a Biological Science
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on software engineering, computational infrastructure, and open-science support, working across multiple work packages. The postholder will play a central role in maintaining and improving the group’s
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clinical scientists on real-world healthcare challenges. The post is supported by funding from multiple planned and ongoing clinical trials across a range of medical areas. Consequently, the research will be
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statistical genetic analyses. Ideally, you will also bring experience or training in areas such as medical statistics, UNIX systems, bioinformatics, or human genetics, though we welcome candidates eager
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called Mcl-1 that acts as s regulator of this process. While S. pneumoniae eventually leads to the degradation of Mcl-1 which triggers macrophage apoptosis to clear the infection, with other bacteria, like
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shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details
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on open-source software. Conduct experiments/trials, and collect, process and analyse data. Collaboratively create demonstrable proof-of-concepts, integrate with other subsystems, and conduct demonstrations