317 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "inserm" Postdoctoral positions in United Kingdom
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or equivalent. 2. Demonstrable experience in either atomistic molecular dynamics simulations or quantum chemistry/density functional theory calculations 3. Demonstrable programming skills 4. Strong
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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interview study. There is a strong expectation that the role holder will make significant contributions to the programming of experimental tasks and lead the technical set-up of the paradigms. Supported by
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that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and
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The Oxford Sustainable Law Programme (SLP) is a world-leading multidisciplinary research centre operating at the intersection of law and sustainability. Founded by Thom Wetzer , the SLP is a joint
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the essential criteria, and how you plan to use the MIGHTEE data alongside the spectroscopic data from 4MOST and MOONS for your research. Your referees should be asked to send their letter, to **Leanne O’Donnell
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programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently
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irradiation damage of materials, who is self-motivated and able to plan and deliver a complex research project. You will have a relevant PhD (or be near completion) in Materials Science or Physics and will have
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colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources
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About the Role This 3 year full-time PDRA position, using advanced transmission electron microscopy (TEM), is part of an exciting major EPSRC-funded Programme Grant, "Enabling Net Zero and the AI