418 programming-language-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions in United Kingdom
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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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are committed to social inclusion. Our work to expand opportunity and enable students to reach their potential, has led to us topping the Social Mobility Index of English universities for the last two years. Our
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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