29 parallel-and-distributed-computing-"Multiple" research jobs at University of London
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to improve people's health in developing countries by striving for excellence in research, healthcare, and training. Our research program spans basic scientific research, clinical studies, epidemiological
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, to be part of this exciting programme of work, spanning multiple strands. Your experiences to date will include conducting qualitative research (qualitative data collection and management) in a health
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empirical research. They will oversee specific research tasks, develop new techniques, and generate original contributions to the programme while fostering a collaborative team environment. Key
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to work on two major research projects, focusing on Multiple Sclerosis and Dementia and funded by Alzheimer`s Research UK and NIHR. They will be expected to assist with all aspects of the studies, including
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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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including malaria, have experience and understanding in using multiple metrics for analysis, experience with design and implementation of study protocols, experience of data analysis in Stata and programming
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Baby Ubuntu programme is a group-participatory programme
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biology, detailed knowledge and laboratory experience in molecular biology, in particular familiarity with DNA isolation, PCR genotyping, ONT-based NGS sequencing and analysis with relevant computer and