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primary data collection methods, a track record of working with difficult societal topics or marginalized populations, and a keen interest in social and environmental justice. The role will suit a self
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strong proven track-record of publication in relevant fields is essential. To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above. Please
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strong proven track-record of publication in relevant fields is essential. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online
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writing skills Evidence of publication track record Extensive experience and expertise in version control (e.g., Git) and reproducible research practices * Please note that this is a PhD level role but
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excellent communication skills and competency in presenting work at conferences/other appropriate events. Ability to develop research objectives, projects and proposals for own and joint research, with
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experience in Oxford Nanopore Technologies (ONT) sequencing and bioinformatics A track record of research in microbiome science, metagenomics, whole genome sequencing, big data analysis, machine learning, and
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objectives are that all individuals shall have equal opportunities for employment and advancement on the basis of their skills, aptitudes and abilities. The MRC is committed to the engagement and retention
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must be able to demonstrate an excellent track record in one or more areas of AI. You will be expected to design, conduct and manage original research and deliver innovation projects in AI applied in
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to completion) in atmospheric physics or related fields. Experience in atmospheric physics and track record in atmospheric modelling and the constraint of atmospheric models with observations are essential as
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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research