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between ad hoc array processing and formally verified functional programming using interactive theorem provers. Who we are looking for The following requirements are mandatory: A doctoral degree (or
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approaches to study RNA turnover or with massively parallel reporter assays (MPRAs) will be beneficial. Must Have Bioinformatics experience in the analysis of (RNA) sequencing data Experience with common lab
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2 will explore the uniqueness of the elastic turbulence flow state in flows with streamline curvature and in parallel shear flows, in both 2D and 3D flows. Aim 3 will relax the low inertia condition
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heart attacks and strokes. Microfluidic and system engineering methods will be used. This activity will run in parallel with commercialisation activities by discussion with stakeholders for problem
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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and characterizing changes in PV systems across imagery collected at different points in time. Processing and analyzing large geospatial, image, and PV operational datasets. Integrating image-derived
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experience in machine learning, where experience in natural language processing (NLP) is highly desirable. • Experience or education in health data science or a health-related field is a plus. • Good
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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part of both a wider peat research team (other PDRAs and PhDs) led by Professor Evers at LJMU but also collaborate more widely with both the project team and parallel projects the LJMU team is