1,467 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "KU LEUVEN" research jobs in United Kingdom
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laboratory scientists, computational biologists, and clinical academic colleagues, running computer simulations and testing predictions in the lab. About you You should be highly motivated, and ambitious
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collection. Can demonstrate proficiency in R or Python of data handling and visualisation. Has understanding of marine food web dynamics and trophic models alongside strong quantitative and analytical skills
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to determine whether the Hubble tension arises from observational issues or from limitations in the current cosmological model by combining lensing information and dynamics of the lens to measure H0
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industrial partner WLL. Experience conducting quantitative research including fracture data collection, management, and analysis is essential. Excellent initiative, flexibility in work style, communication
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and optimisation but not limited to data driven monitoring for control and operation. You must have a good master’s degree in electrical engineering, with Power and Control Engineering major
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during primary school visits across Leicester and the East Midlands, ensuring data collection is carried out to the highest standards. Alongside fieldwork, you will support the research team with data
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. The post is offered at a competitive salary (Grade 6, Spine Point 33 on the KCL salary scale), and includes provisions for travel money, computer equipment and academic and leadership training. This is a
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of an ageing population. The postholder will support the programme through the application of a range of techniques and/or to collect and analyse data that enable the project to progress. This position involves
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commencing 13th April To avoid disappointment please apply early, should we find a suitable candidate we will close the advert. For more information about out benefits and working for the University please
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. You will be responsible for the day-to-day coordination of project activities, working closely with university academics and farm staff to ensure high quality data collection and adherence to agreed