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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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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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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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advanced optical spectroscopic techniques and modelling, e.g. ultrafast (sub-picosecond) photoluminescence, absorption or photoconductivity techniques. Knowledge of semiconductor physics and a track record
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track record of presenting research at conferences, symposia, or meetings, commensurate with stage of career. Demonstrable ability to develop research proposals and designs in collaboration with other
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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
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experience relevant to biomedical laboratory research, including cell culture techniques, and show a clear interest in the research topic, particularly renal pathology. A strong academic track record is
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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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. You will have excellent communication skills including a track record of contributing to publications and presentations and an ability to contribute ideas for new research projects. Experience
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policies. The Unit aims to improve population health and food environments through research and impact on the nutritional quality of food and drink, with a track record of success in reducing salt and sugar