405 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"https:"-"I.E" PhD positions in United Kingdom
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, characterization and the development of miniaturized devices. Experience with multivariate analysis, computational methods or statistical techniques is highly desirable. The PhD projects are highly interdisciplinary
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in the course of the disease would result in better outcomes for the patient. We are looking for candidates to research computer vision and artificial intelligence techniques to create an objective
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Research theme: Computational magnetism How to apply: uom.link/pgr-apply-2425 UK only This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible
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. This project will rely heavily on computational analyses, so experience on bioinformatics/informatics is required. The student will receive extensive training in big-data analysis, genome-wide/species-wide
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that drives this we plan to identify therapeutic targets that could prevent the progression of MGUS to myeloma. Research Methodology This PhD project will investigate changes in the innate immune system in MGUS
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and postgraduate studies. Any scholarly publications. Project plan (1500 max excluding reference). The successful applicant will benefit from: A funded three-year PhD studentship, covering tuition and
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PhD programmes and looking for hands-on research experience on high-impact questions in energy and environmental economics. Key Responsibilities for the role include: Data collection, cleaning, and
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, etc.), or the equivalent qualifications gained outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational
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There is growing UK and international interest in networked sensing and autonomous collaborative platforms, where multiple airborne sensors co-operate to collect and exploit data. In contrast to single-platform radar systems, distributed Synthetic Aperture Radar (SAR) architectures offer...
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collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and