170 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" positions at Cardiff University
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specialist partner organisations as required. Lead the rationalisation review by collecting and analysing data to develop strategy in collaboration with senior leadership. Oversee implementation of projects
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Caroline Pasmore (Chemy-HR@cardiff.ac.uk; +44 (0)29 2087 4073 ) Please visit www.cardiff.ac.uk/chemistry for further information about the School of Chemistry. This position is full-time (35 hours per week
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within the specialist field of data science and/or building performance. The CLCBE team have been commissioned by Neath Port Talbot County Borough Council to carry out monitoring and evaluation as part of
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-scale data using complex statistical methods (i.e. structural equation modelling and/or multivariate analysis). The successful applicant will enjoy data analysis and working with complex data and will
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, with various start dates. If you have difficulty accessing a computer, please call 029 2087 6137. Benefits We offer a leading and rewarding staff benefits package: 32 days holiday per year plus 8 bank
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• Undertake the training of others in areas relating to Student Support • Undergo personal and professional development that is appropriate to and which will enhance performance • Gather and analyse data
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, analysing and reporting of energy data to identify, investigate and quantify opportunities for energy and carbon savings. The post holder will develop and deliver presentations, briefings and reports
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directly to its key final outputs. Responsibilities will focus on conducting new academic and policy literature reviews and synthesising these findings with existing project data. You will then co-author
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University information including study opportunities, entry requirements and processes, student fees and finances, teaching methods, accommodation and extracurricular facilities to ensure you are supportive
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the boundaries of diffusion MRI and imaging physics at ultra-low magnetic fields. The successful candidate will play a key role in advancing diffusion MRI data analysis and sequence development for ultra-low field