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large-scale genomic, phenotypic, environmental, and field trial datasets, you will benchmark AI and quantitative genetics methods, develop multimodal and hybrid modelling frameworks, and investigate
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how clinical blood tests are used. The chosen candidate will develop novel theory, large-scale data pipelines, and collaborate with clinicians to drive impact from these models, and use them to benefit
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working with human date and experience analysing large-scale omics datasets (e.g., proteomics, transcriptomics, genomics, metabolomics, or related high-dimensional biological data) are desirable
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for all full-time staff. Detailed Description Decarbonising heat is one of the most critical challenges in the transition to net zero. The Sustainable Open-loop Large-scale Interseasonal Thermochemical Heat
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learning. The successful applicant will work with Assistant Professor Abigail Bodner, leveraging results from a state-of-the-art large-eddy simulation based on Oceananigans.jl that resolves scales ranging
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interiors. This work will rely on large-scale atomistic simulations paired with machine-learning interatomic potentials. Duties: ● The postdoc will generate density functional theory reference data, use
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in collaboration with local and international partners. The Postdoctoral Associate will design, execute, and interpret computational analyses for large-scale genomic, transcriptomic, and epigenomic
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Neurodevelopment. You will develop, implement, and apply computational pipelines to analyse large-scale genomic datasets generated through Perturb-seq and other functional genomics approaches. You will use state
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-dominated grids, protection systems, and wide-area dynamics. Scalable algorithms and numerical methods for large-scale simulation. Scientific software and software architectures for next-generation simulation
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will have the opportunity to contribute to a ranch-scale, long-term research effort focused on evaluating conservation outcomes in pastureland systems. This will include field and laboratory research