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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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transcriptomics and proteomics data and will be integrated within a team within our lab working on this large project. The Ciccarelli lab is highly collaborative and interdisciplinary and the ability to work in a
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
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to completion*) in a relevant subject and a proven track record in computational biology and data science, coming from either a bioinformatic or computational background. With experience of working with large
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, especially the SOCRATES code, is highly desirable. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC
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Computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and machine
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Computational Methods for Advanced Research to Transform Biomedicine ( SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and
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About us King’s History is an intellectual home for scholars of every region of the world, who use approaches which range from local micro-histories to large-scale quantitative analysis. We
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forms part of a large multi-institution collaborative project entitled Next Generation Electrodes (Nextrode) funded by the UK’s Faraday Institution. The appointed person will collaborate with other