35 parallel-processing-bioinformatics Fellowship positions at University of Birmingham
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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of siRNA-peptide conjugates across multiple human, primate and mouse cell lines. We are therefore seeking a highly motivated and organised individual with proven expertise in human tissue processing and cell
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. The aim of project is the safe integration of machine learning methods within the biopharmaceutical development process. This project offers an opportunity to be at the forefront of interdisciplinary
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methane exchange in upland trees drawing on information derived from parallel field studies spanning a rainfall gradient in Ghana (and elsewhere) and modify empirical models of tree methane exchange
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project will focus on scaling-up the technology and transferring existing knowledge of this process from the University of Birmingham to Salinity Solutions, where it can be commercialised and accelerate
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to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict
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Language Processing (NLP) with a focus on large language models, deep learning, and multi-modal machine learning. The researcher will work on the project KAMAL Health: Knowledge-Augmented Multi-Modal Arabic LLMs
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requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or
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of research methods and processes (ideally in the field of cancer and trials). High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource requirements and
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Wellcome Leap programme awarded to the University of Birmingham to study Untangling Addiction. Our project, entitled “Predicting persistent opioid usage after surgery: Integrating multi-omics, neurobiology