411 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "inserm" Postdoctoral positions in United Kingdom
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completion of, a relevant PhD/DPhil together with relevant experience. You will have the ability to lead and report an original research programme, as shown by a documented research track record, including
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balance, offering: (i) flexible working and parental leave opportunities; (ii) an employee assistance programme which provides free, confidential advice on both home and work concerns, as well as optional
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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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to develop a personal research programme in observational or theoretical cosmology, with a particular emphasis on ultra-large-scale cosmology (including primordial non-Gaussianity and horizon-sized effects
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SECURE project, a major multi-partner programme developing self adaptive gene therapies for neurological disease. This will involve (1) producing a single nuclei atlas of the substantia nigra and (2
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project lead Dr Janice Attard-Johnson and with co-lead Professor Sarah Bate to prepare materials, design and programme experiments, participant recruitment and data collection, develop and conduct
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candidate will be required to develop a personal research programme in observational or theoretical cosmology, with a particular emphasis on ultra-large-scale cosmology (including primordial non-Gaussianity
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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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social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming proficiency in R or Python and version control systems like Git
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Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and