522 coding-"https:"-"FEMTO-ST"-"CSIC"-"https:"-"https:"-"https:"-"https:"-"BioData" positions in United Kingdom
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: Comprehensive personalised Assessment, early Risk Evaluation and clinical management” (HER-CARE) project. The successful applicant will work on the project “Assessing the role of rare germline non-coding genetic
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codes of practice. As a member of our team, you will have a positive approach and be a colleague that the team look forward to working with and building strong relationships with others to accomplish
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to support experiment planning, model selection, interpretation of results and coordination of complex experimental and modelling workflows. You will work hands-on with data, code and modelling tools
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | 3 months ago
neurodiverse families (with and without a family history of autism or ADHD). The successful candidate will create an inclusive neurodiversity-affirming coding scheme to code caregiver-child behaviours, examine
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biomechanics. possesses a creative research vision for development, implementation and delivery of successful research projects. is committed to working within professional and ethical codes of conduct and to
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discipline *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant. Expertise in atmospheric physics and chemistry Enthusiasm for coding of complex atmospheric
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apply for one (1) or max three (3) of the open positions. You will be asked to prioritize your choices by using the position codes. You will find each position code after the name of the position in
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code of ethics and a complaints procedure. You must be a registered mental health practitioner with significant clinical experience. You will have exceptional knowledge and in person experience
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and participate in scientific development. A PhD (or relevant experience) in ecosystem service modelling at global or national scales is essential alongside experience in the production of novel code
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, which focusses on the genomic and evolutionary origins of plant traits. Our project, in collaboration with the University of Sheffield, Bristol and the John Innes Centre, has identified a novel non-coding