24 parallel-computing-numerical-methods Fellowship positions at King's College London
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systems that affect their lives and maintain agency over the data generated. About the role We are recruiting a Research Fellow in participatory methods to work within the Centre for Data Futures (CDF
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College London. This position is part of the Cardiovascular Digital Twin network consisting of 15 fellowships across Europe (CDTnet ), funded by the European Research Council’s MSCA programme. As a world
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and experience in one or more open-source languages (e.g. Python, R). Prior experience/knowledge of computational psychiatry methods for modelling cognitive tasks. Experience in the use of neuroimaging
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computational methodologies alongside experimentalists developing new wet lab methods and to produce relevant publications. The successful candidate should have extensive computational RNA biology experience
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programme. As a world-leading, top-40 global university, King's College London offers an exceptional, multi-disciplinary environment for doctoral research. Representing the network's "Ethics & Society" focus
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to join the Breast Cancer Now programme at King’s College London and contribute to the development of a first-in-human immune priming platform trial in breast cancer. The post holder will be report
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computational methodologies alongside experimentalists developing new wet lab methods and to produce relevant publications. You should have extensive computational experience in transcriptomics, including
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consisting of 15 fellowships across Europe (CDTnet ), funded by the European Research Council’s MSCA programme. As a world-leading, research-intensive university ranked among the global top 40, King's offers
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of maintaining quality standards within a highly structured laboratory unit. About The Role The Senior Research Fellow will be required to develop and lead a research programme in the DCC that complements and
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areas that are of interest to them, which could include the above, health, youth violence reduction, communities, or other domains. We deliver mixed methods evaluations, combining quantitative and quasi