28 parallel-processing-bioinformatics PhD positions at University of Nottingham in United Kingdom
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, addressing challenges in (re)manufacturing processes. Motivation The global climate crisis is calling for fundamental transformations in how we design and produce. With advanced robotics technologies
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fucosylation (and glycosylation) of proteins modulate their structure, stability and function. FUT2 has been implicated in several biological processes including modifying mucins (e.g. glycosylation of MUC5AC
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note that, due to funding restrictions, this studentship is only available to UK (home fees) citizens. Application Process Informal enquiries may be addressed to: Dr Stephen Ambrose – Stephen.Ambrose3
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of approximately £20,780. After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process Interested applicants can find out more by contacting me via
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of Nottingham as part of a competitive process Interested applicants can find out more by contacting me via email. Send me a message at angus.pettey1@nottingham.ac.uk with the subject line “Interface
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collaboration within interdisciplinary research teams. Application Process: To apply, please submit your CV and a cover letter outlining your research interests and relevant experience to Connor.Taylor
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We invite applications for a PhD project focused on fundamental research into novel low-emission ammonia combustion/oxidation processes. This position is based within the Faculty of Engineering at
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applicants who have a background or strong interest in Computer Science, interactive media, software engineering, 3D modelling/animation, VR/AR, human–computer interaction or related digital-tech fields
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in