655 software-engineering-model-driven-engineering-phd-position Postdoctoral positions in United Kingdom
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Applications are invited for a Research Fellow position on the UKRI-funded Turing AI Fellowship project ‘Event-Centric Framework for Natural Language Understanding’ led by Prof. Yulan He. The 5-year project aims
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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neurological function, including in rugby and snow sports. You should hold or be near completion of a PhD/DPhil in Biomedical, Electrical or Information Engineering or other relevant disciplines, and possess
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venous valves and in vivo venous thrombosis models. We are looking for a highly motivated candidate with a strong knowledge and research experience in thrombosis and haemostasis, with a creative, positive
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of experimental demonstrators. Education, Qualifications and Experience Essential Criteria Applicants should hold a PhD in Physics or a relevant area of electrical engineering. (Applicants should have submitted
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completion of a PhD and demonstrate strong ability in electrical and electronic engineering, physics, material, or a related discipline. While experience in nanoelectronic device characterisation, modelling
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set to deliver an ambitious research vision and where you can contribute to the training of PhD and Master’s students. You are excited about opportunities to communicate with international collaborators
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. Research Themes Fellows will work within BCU’s transformative research environment, focusing on: Artificial Intelligence for Smart Cities: Developing responsible and innovative AI-driven urban solutions
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Job Description Position Details School of Biosciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with
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should possess a PhD/DPhil in engineering, physics or applied mathematics, and hold a strong publication record in your field. You should have expertise in numerical or experimental modelling (preferably