46 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" research jobs at University of London in United Kingdom
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directly to high-quality experimental research. The post holder will provide hands-on laboratory support, assist with experimental design, data generation and analysis, maintain accurate research records
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governance and data protection requirements, and contribute to a supportive research culture About the School/Department/Institute/Project The WIPH is an exciting and dynamic environment, home to 450+ staff
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failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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public services, such as; water utilities and rural energy communities. Key responsibilities of this position include i) coordinate with Ukraine in-country partners to collect data and propose use cases
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nanomaterials precursors, developing experimental strategies for in vivo validation (biodistribution and preclinical imaging), and providing the key data for translation to clinical total-body PET studies. About
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transformed the treatment of certain cancers are not effective in ovarian cancer and the ECM has not yet been targeted therapeutically. Our preliminary data show that ECM co-evolves with cancer cells and
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, focus groups, observation and documentary analysis, and will lead on the analysis and synthesis of qualitative data using systems evaluation frameworks. The role requires an excellent understanding
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relating to M. sorbens oviposition and behaviour, and other research-related tasks as part of the research team. The post-holder is expected to assist with the analysis of data arising from the research and
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical