422 programming-language-"University-of-Bradford"-"University-of-Bradford" Postdoctoral positions in United Kingdom
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join the School of Advanced Study as we are at the start of a new strategic plan. The Digital Humanities Research Hub (DHRH) at SAS supports a variety of digital approaches to the Humanities across
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Based at University of York campus (with some remote working options available) The Department of Language and Linguistic Science is seeking a Postdoctoral Research Associate (PDRA) in Computational
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strong potential o Proficiency in Python and/or R programming languages o Experience working in high-performance computing (HPC) environments o Command line proficiency and BASH scripting
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, neuroscience or computer science Proficiency in Python, R, Matlab, or another relevant programming language Expertise in integrated analysis of behavioural and imaging data. Experience working with children in
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language under various task conditions, particularly for young people (ages 12–18). This work will contribute toward the wider research and to academic and public outputs, including creation of a mobile app
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research and scientific excellence. Ready to be part of our team? Welcome aboard! Your future position: You will be working at the Department of English and American Studies as a member of the Fun*Cog
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in peer-reviewed journals IT skills (e.g.- programming skills) Knowledge in Computational Medicinal Chemistry, Chemoinformatics, and Molecular Modeling Excellent knowledge of English (C1) Team player
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motivation, well-being and learning at school, development, evaluation and implementation of intervention programs, or gender and diversity in educational contexts. Support will be provided for the writing
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• Present regular progress reports on research to members of the research team and to project partners • Plan, prepare and deliver conference presentations on the project, in consultation with the PI and
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genomic variation and phenotypic traits, predict gene essentiality, and model evolutionary trajectories. The role involves using large language models as coding assistants for efficient pipeline development