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relevant field (e.g. NLP, AI, Machine Learning) and be able to demonstrate active, collegial engagement in teaching, research, and administration, commensurate with their stage of career. The candidate will
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. The successful applicant will have the opportunity to develop skills in mathematical modelling, advanced numerical simulations and machine learning. Fully involved in the basic research in these areas whilst also
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/ statistics, an excellent research record and an interest in biological / clinical applications of statistical and ML approaches. Postdoctoral experience in machine learning, statistics is desirable. Experience
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protein design and evolution, using molecular biology and biophysics along with the latest AI or machine learning tools. According to the development of the project there may be the chance to learn other
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alongside a collaborative approach and strong interpersonal skills. Experience with machine learning and genomic/metagenomic data analysis is desirable. Candidates who have submitted but not yet been awarded