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datasets spanning a range of model organisms (e.g. Danio rerio, Caenorhabditis elegans, Drosophila melanogaster, Daphnia magna, and others) and human cell lines. In addition, the role will involve the in
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or joint research, with assistance of a mentor if required and contribute to writing bids for funding Promote equality and values diversity, acting as a role model and fostering an inclusive working culture
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is necessary to: 1) explore platforms and frameworks that support the development and implementation of the models needed to detect and predict leaks; 2) process real and simulated data that will be
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funding scheme, supporting new collaborative opportunities. Promotes equality and values diversity acting as a role model and fostering an inclusive working culture. Research and Dissemination: Propose
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training deep learning models on biological, chemical or related datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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can successfully predict previously-unknown regulators of seed development through functional genetic analysis of conserved, uncharacterised genes in the model seed plant Arabidopsis thaliana
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Good Clinical Practice Supervise students and provide mentorship on research-related work Contribute to developing new models, clinical pathways, or care interventions Undertake management and
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Science methods and AI models while ensuring their principled and competent adoption across disciplines. Our approach is anchored in fostering an interdisciplinary and inclusive culture in research and
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the environmental impacts of proposed processes and compare them with conventional alternatives. • Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS, SimaPro, or equivalent