411 parallel-and-distributed-computing-"UNIS" Postdoctoral positions in United Kingdom
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experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed
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. signalling. Research experience with animal (mouse) work. Good verbal and written communication skills. Good practical and organisation skills. Computer skills (Office, information technology, bioinformatics
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Experience in analysing drugs and metabolites from human breastmilk Competency in using computer software to collect and process data, e.g. use of Excel, statistical software and machine learning approaches
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at the University of Liverpool. You will be part of an exciting Liverpool-based UKRI-funded programme of research called ¿SCHOUSE: Supporting Communities in social Housing and Optimising Urban food System
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students and over 500 Single Honours undergraduate students. We offer a 3-year BSc degree programme in Biological Sciences and a 4-year MBiol, while also contributing to Natural Sciences. We also run a PGT
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Investigator). The applicant will make essential contributions to a research programme focussed on gut bacteria that produce a genotoxin, called colibactin The successful candidate will have extensive skills in
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the successful applicant will join “JUST-Systems”, which is a £5.6 million research programme, funded by the UKRI. JUST-Systems is a multidisciplinary research project with an inclusive environment
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About the Role We are in search of exceptional, self-driven postdoctoral research associates (PDRAs) to join a dedicated team in developing and testing a groundbreaking minimally invasive device for deep access within the human body. The research remit will encompass: mechanical and electronic...
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by