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of the applicant: The project will be entirely computational. Thus, we are seeking a student having a strong interest in computational approaches evidenced by good programming skills (preferable in Linux/Shell
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currently working on multiple viruses including LF. Specific skills requirements of the applicant: The project will be entirely computational. Thus, we are seeking a student having a strong interest in
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level schools. There are 3 PhD opportunities for candidates with a background in minority language sociolinguistics to assist with the delivery of the project's objectives and conduct research
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registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award. *Part time PhD
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distribution. This project will build upon existing work undertaken by the supervisory team and support a PhD examining the factors that lead to conflict between people and small carnivores on the island
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programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award. *Part time PhD scholarships
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. Combining computer vision with artificial intelligence will enable a PhD researcher to develop models that can reason, understand or learn like a human. The ability to identify defects, adapt to new and
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PhD project in collaboration with SONI Ltd and EirGrid plc, leading Transmission System Operators for Northern Ireland and Ireland. This industry-cooperative doctoral award focuses on developing a 2050
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Development of an docetaxel-loaded implantable device for the localised treatment of prostate cancer
cell bioassays to identify important genetic and biological pathways involved in the drug response. The PhD researcher will interact closely with the CRISM Therapeutics team and will be trained in
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Summary Project Summary Artificial Intelligence is revolutionising how we approach climate challenges in the built environment. This fully funded PhD opportunity will equip you to develop a hybrid