342 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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reporting of SMART trials. What we are looking for This PhD is suitable for a UK resident with: Strong analytical and programming skills (e.g. R, Stata or similar) A Degree or Master’s with a substantial
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our Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme
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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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discipline. Programming skills in any language and knowledge of numerical methods for solving differential equations are highly desirable. Knowledge of heat transfer is advantageous. Applicants are expected
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to obtain) a 1st/2.1 or Master’s degree in Engineering, Physical Sciences, Life Sciences, Data Science, Mathematics, or a related field. Strong quantitative and programming skills are required. Interest in
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-time situational awareness and enable timely mitigation actions. What you will gain: Strong programming and software skills in AI and scientific computing Mathematical Modelling and Analysis of real
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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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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on this project have been admitted to prestigious PhD programs at New York University and Imperial College London. The Research Assistant will benefit from extensive mentoring from the Project Leader and his
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once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . A strong background in computer science, computational science, data science, or a closely related