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will use a large dataset of P. aeruginosa genomes and experimental metadata to predict key mutations to the organism. The postdoctoral researcher will join the Whelan lab led by Dr. Fiona Whelan
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deploy machine learning and deep learning models (transformers, large language models) for immunological data (biological sequences, single-cell data, and protein structures, virtual drug screening) Use
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. et al. (2019) 'Big Data‐Savvy teams’ skills, Big Data‐Driven actions and business performance,' British Journal of Management, 30(2), pp. 252–271. https://doi.org/10.1111/1467-8551.12333. Cyfert, S. et
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candidate for this position will also possess: PhD in Chemistry or related field. Ability to multitask and work cooperatively with others. Knowledge of word processing and spreadsheet applications. Effective
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-disciplinary collaboration You have demonstrated the ability to win and manage large-scale research projects and have experience and a good reputation as a supervisor of students, PhDs, and postdocs. You
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, with a focus on computational methods, addresses this complexity through quantitative and computational approaches. This includes network analysis, simulation and modelling, as well as data-driven
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(including Large Language Models and data-driven optimisation) with concrete industrial deployment. A profile comfortable with the challenges faced by industries in their transition towards Manufacturing 4.0
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management, carbon technologies and management; cross-discipline with the following areas including AI, environmental big data, environment pillar in ESG, and sustainable city etc. Job Requirement Candidates
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student II. Number of vacancies: 1 III. Discipline: forest sciences IV. Application deadline: 30/04/2026 V. Detailed information about recruitment process can be found on the website: https
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information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate research courses: https://www.sheffield.ac.uk