86 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P" 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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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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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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publication-ready habilitation. You hold courses independently in the Bachelor programme „Languages and Cultures of South Asia and Tibet” and the Master programme “Languages and Cultures of South Asia” within
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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