78 parallel-and-distributed-computing-phd-"Multiple" positions at University of Liverpool
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We are looking for a dedicated and ambitious data scientist to continue our work in developing AI / informatics approaches to efficiently utilise real world clinical data for drug safety science
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should have a PhD degree in Biochemistry, Biomedical Science, Biological Sciences, Omics science, Microbiology or a related discipline and experience of applying mass spectrometry in human signalling
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number of students to its BA Music and Technology programme each year; students on other Music department programmes, which include the BSc Game Design, can choose Music Technology options as part of
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Webster (LJMU). Much of the work will be undertaken at Farm Urban, a Liverpool based Vertical Farming company. You should have a PhD (or thesis submitted, awaiting examination) or equivalent experience in
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We wish to recruit a University Teacher in Ecology and Marine Biology to provide teaching cover for 6 months at 1 FTE. The post would support lecture, computer and field-based teaching in Ecology
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science education. Delivering large-scale undergraduate laboratory teaching across multiple disciplines, while also supporting postgraduate taught programmes, schools outreach activities, academic
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to develop your knowledge and skills on autonomous cubesats with impactful applications in planetary defence. You should have a PhD (or near completion) in space engineering, computer science or an equivalent
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Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD students, postdocs, and academics working at the intersection of Machine Learning, Verification and
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This role is part of the BRITE (Biologics Regional Innovation and Technology Ecosystem) programme - a £5m cross-sector partnership (led by LSTM with UoL, LJMU, Edge Hill, AstraZeneca, Unilever, etc
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improvement programme. You should have a PhD degree in plant genetics, molecular biology, crop science, or a related discipline, and experience of plant breeding, trait phenotyping, and the application