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life cycle analysis methodologies. Proficiency with modelling and simulation software relevant to TEA and LCA. High analytical ability to analyse and illuminate data, interpret reports, and bring new
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. • Support supervision and mentoring of PhD and MSc students. • Engage in knowledge exchange, contributing to grant writing and collaborative partnerships both internally and externally. You should have
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challenge due to limited patient data—especially at the single-cell level—making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data
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interpretation. This role will involve working closely with civil engineers, computational modellers, Physicists, and geophysicists to translate raw sensor outputs into actionable insights. Role Summary Lead data
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Magnini in the Faculty of Engineering at the University of Nottingham. The position is part of a larger project in collaboration with the School of Chemistry and you will work in a highly collaborative and
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Qualifications: PhD in immunology, cancer immunology, autoimmune diseases, human genetics, molecular biology or biochemistry Experience in autoimmune diseases, preclinical animal disease models, multi-color flow
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, and PhD students conducting research focussed on ocean dynamics, connectivity, hydrodynamic model development and observing system design. The team are based in the School of Biological Earth and
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advancing impactful Health Services Research. The successful candidate will support and/or lead research projects focused on improving patient care delivery, evaluating new care models, and informing health
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The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is
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molecular biology and rodent models · Have experience with epigenetic techniques Your qualifications should include: · PhD in Molecular, Cellular or Developmental Biology. · Strong