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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
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copy of your MSc and BSc degree certificates, including transcripts of all MSc and BSc university records (grades and courses) and their English translations (Finnish and Swedish certificates are also
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prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework
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diversity. We work to identify the genes that regulate plant development, describe the evolutionary histories of these genes, and connect the molecular evolution of developmental genes to the evolution
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researchers, molecular biologists and computational microbiologists. Our work is funded by the Ellison Institute of Technology, Oxford Ltd and the pipelines we develop are deployed in https://www.eit
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to linked data. The overarching goal will be the integration of routinely collected data (e.g. molecular genomic data with clinical data from electronic health records) to address specific research questions
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molecular biology. Relevant post-doctoral experience is desirable. High quality peer-reviewed publications and a keen interest in translational regulation are essential. If you have an excellent background in
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. The ideal candidate will have hands-on experience in encoded library design/ screening or other selection techniques. A strong background in molecular biology, protein and peptide chemistry, next-generation