114 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Nottingham Trent University
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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Overview This PhD project will take a multidimensional approach to exploring how Corporate Governance responds to the fast-changing and broad application of Artificial Intelligence (AI
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, business, management, data/computer science, or a related field. We especially encourage candidates with strong quantitative skills in R or Python, though proficiency in other tools such as SPSS, Stata
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Overview The self-funded PhD project investigates the role of online memes and viral images in the transglobal socio-political landscape. Visual memes and viral images—whether still or moving image
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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communities through a holistic program of co-created research that actively engages with public groups. As we strive to establish an innovative approach to conducting PhD research, we seek candidates who
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community energy support organisations to empower local groups to establish new or scale-up existing activities. This community-led PhD proposal has been devised by LCAN's local voluntary sector partners
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Entry qualifications BSc or MSc in a relevant scientific discipline Fees and funding This is a self-funded PhD project for UK and International applicants.
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inclusive, affordable, and sustainable technologies for health, activity, and social connectedness. It will connect engineering, computing, digital health, and environmental design with industry and public