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You Will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in analysing
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genomic and clinical datasets, and in developing reproducible, scalable analytical workflows (using scripting languages such as R/Python) within high-performance or cloud computing environments. You will
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genomic and clinical datasets, and in developing reproducible, scalable analytical workflows (using scripting languages such as R/Python) within high-performance or cloud computing environments. You will
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cloud or distributed computing environments. Familiarity with self-supervised and contrastive learning techniques for aligning text and images (e.g., CLIP, SimCLR). Clinical experience, e.g., interaction
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the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with cloud or distributed computing environments
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related
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to have the following skills and experience: Essential criteria PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field*** Demonstrated expertise in
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achieving beam stability with minimal impact on beam lifetime. Detrimental coherent beam instabilities such as, e.g., the slow head-tail or electron cloud instability, are typically mitigated with schemes
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PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field * Demonstrated expertise in programming and scripting (e.g. R, Python, Bash) for data
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Associate post. Funded by UKRI EPSRC, the project “CHEDDAR: Communications Hub For Empowering Distributed ClouD Computing Applications And Research” aims to empower distributed cloud computing applications