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functional neuroimaging or omics information, and/or temporal data as recorded using smartphones and/or wearable devices Excellent statistical and coding skills with demonstrated ability to apply and combine
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central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study
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to taking up the appointment. The research requires experience in electronic structure theory. Experience in R-matrix theory, quantum molecular dynamics, and the calculation of observables, as well as coding
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developing novel computational or statistical methods for muscle biology Enthusiasm for open science — sharing code, data and reproducible research practices Downloading a copy of our Job Description Full
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Combining models and combining data / Realistic simulation of clinical trials Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality Generalisability, transportability and
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• Constrained experimental design • Combining models and combining data / Realistic simulation of clinical trials • Developing LLMs to utilise ODEs and ProbML as tools, Code
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, with a special focus on RNA structure and bioinformatics. This position will focus on the development of methods and algorithms for the detection of structured non-coding RNAs. Your future tasks: We
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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
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MoSS with various diffraction methods, to develop code to automate the characterisation of MoSS with diffraction and other methods. The successful candidate will be involved in the supervision of a PhD
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MoSS with various diffraction methods, to develop code to automate the characteri sation of MoSS with diffraction and other methods. The successful candidate will be involved in the supervision of a PhD