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Field
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science or related fields and demonstrated record of productivity and publications. Experience with analyzing large-scale genomic data. Application Requirements Document requirements Curriculum Vitae - Your most
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for FLASH-RT: strategies to obtain the shortest delivery time on healthy tissues and high dose-rate coverage of large volumes need to be evaluated for the current machine settings, high spatial and temporal
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benefits package. Required Qualifications: PHD in astronomy or physics. Preferred: Experience with large-scale structure data and software development. Special Instructions to Applicants: For full
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of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts are supported by
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supervise junior researchers. Uphold best practice in ethics, data management, and research governance. About You You will have (or be near completion of) a PhD in computer science, applied mathematics
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in this kind of environment will result in models too large to be handled and too instable to be solved. Data-driven approaches need to be used in addition to enrich the physics-based models
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for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data · Developing and maintaining requirements for access to Truveta Data and
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targets. You will take a lead on development of computational approaches to integrate multi-omics data from patient samples, including DNA methylation, histone modifications, single-cell transcriptomics and
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RNA-seq data for testing and validation. Perform data analysis on large-scale RNA-seq data in pediatric cancer. This may involve the analysis of both scRNA-seq, bulk RNA-seq as well as new single-cell
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Framework (RDF). enables advanced data mining queries using the SPARQL query language. provides a natural language-based interface to perform these queries on the knowledge graph using a large language model