604 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UCL" PhD positions in United Kingdom
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made online . Under programme name, select Department of Materials. Please quote the advertised reference number: MP-JC-2522 in your application. To avoid delays in processing your application, please
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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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closely with water utilities. The outcomes will support the development of robust decision-support tools to safeguard drinking water quality and safety under a changing climate. The research programme to be
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of disasters? Do you have a PhD research proposal related to this topic, or can you develop one this month? If the answer is yes to these questions, then this PhD funding opportunity for the programme of
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at: https://www.campdenbri.co.uk/research/consortium/food-consortium.php The studentship is open to both UK home and overseas students. Applicants are expected to hold first or upper-second class honours
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, computational modelling, or data science. The studentship provides full PhD funding, including tuition fees and a tax-free stipend for the duration of the programme. Please apply via the ‘Apply’ button above.
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qualifications and experiences needed for entry at a particular level. Find out more about the Faculty of Science, Agriculture and Engineering here: https://www.ncl.ac.uk/sage/ Find out more about our Research
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Fully-funded PhD Studentship – Next-Generation Integrated Opto-Electronic Devices for Switching, Computing, and Sensing We are offering a fully-funded PhD studentship in the field of photonics and
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and