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flows, using data on e-mobility demand, traffic and parking patterns, and grid configuration. This work will contribute to the development of statistical models to predict and support power supply
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simulation of the integrated optimisation of Vehicle-to-Grid (V2G) energy flows, using data on e-mobility demand, traffic and parking patterns, and grid configuration. This work will contribute
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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly
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Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking
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developmental biology or a closely allied discipline, with experience in designing, undertaking and analysing large scale experiments with invertebrates or relevant experience of spermatogenesis in other species
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An exciting opportunity is available for a talented researcher to join the large and successful Psychology and Health Sciences departments at the University of Southampton. You will join a large
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grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience
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communication skills to collect empirical data, as well as knowledge of the dominant paradigms, theories, and empirical methods applicable to the topics mentioned above. Candidates who have strong knowledge and
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well as competence in handling sensitive and confidential data. The candidate will work closely with the Principal Investigator and other team members to integrate experimental findings and theory to develop new tools
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing