89 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Ulster University in United Kingdom
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Positioned within Ulster University’s School of Computing, this research theme advances cutting edge artificial intelligence and Internet of Things (IoT) solutions for healthcare and wellbeing
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offered admission on a self-funded basis. Applicants who already hold an MRes or a doctoral degree or who have been registered on a programme of research leading to the award of an MRes or doctoral degree
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Summary Applicants are invited to undertake a 3 year PhD program in partnership with a global leader in blood- and cell-based therapies (Terumo Blood and Cell Technologies Ltd). This opportunity
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approaches relevant to the subject domain A demonstrable interest in the research area associated with the studentship Desirable Criteria If the University receives a large number of applicants for the project
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as part of TRACE (Technological Revolution towards an Agri-food Circular Economy), a €5.89m cross-border project supported by the European Union’s PEACEPLUS Programme and managed by the Special EU
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manufacturing engineering and biosensing enabling the fabrication of highly sensitive, room-temperature quantum sensors using scalable, low-energy processes. Essential criteria Applicants should hold, or expect
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Molecular dynamics simulations High-field NMR spectroscopy Ideal for students excited by computational biophysics and structural biology, with strong career prospects in academia, biotech, and AI-driven drug
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education, inclusion, and crime prevention (Spaaij, 2013; UNICEF, 2019). Yet its outcomes are not automatic: meaningful impact depends on programme design, social context, and active engagement from
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Summary Positioned within Ulster University’s School of Computing, this research theme focuses on harnessing artificial intelligence and spectral technologies to strengthen food integrity and
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. These benchmarks will help build confidence in the technology and support its adoption. The research will focus on: Pre-treatment and characterisation of the electrolysis process from FVW Modelling the entire green