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the full complexity of fabrication processes and enable optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication
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, with the possibility of reappointment to the retiring age. The successful applicant will be expected to teach and direct studies in Biomedical Sciences in the Natural Sciences Tripos, and assist with
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent What we offer in return • 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by
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was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk
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-worker-visa . For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent What we offer in return 26 days
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design and implementation, conducting research, analysing data and sharing learning from the project. As such, the Research Fellow should have mixed methods research experience, particularly in conducting
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close to completing their qualification. They should have experience in systems engineering, simulation, digital modelling, machine learning, artificial intelligence, or digital twin (model, shadow, twin
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. The job holder will have the opportunity to learn and apply a wide range of techniques including CRISPR-based genetic and epigenetic editing strategies, molecular biology (molecular cloning, RT-PCR
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that have brought new therapeutic strategies to patients. Further information can be found on our website http://www.ucl.ac.uk/pharmacy/ The Division is housed in an iconic, dedicated building in Brunswick