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Field
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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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including data engineers, clinicians, software developers, and lived experience experts to: Scope and integrate new datasets into an new web interface, focusing on mental health-relevant omics and real-world
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phenotyping of agricultural systems; Application of computational tools for the analysis of complex datasets; Contribution to database/software development; Dissemination of results through publications
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expertise centre, software developers, AI researchers, cartographers and spatial data/ information researchers. But what binds us is spatial data. We often act as a broker between policy, science and
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). o Software and hardware co-design. Indicative skills/experience: - Designing for real-time inference and hardware acceleration. - Knowledge of runtime reconfiguration, latency profiling, and dataflow
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. For eligibility and salary information, please consult the LANL Postdoc Eligibility and LANL Postdoctoral Salary Guidelines. For further information please contact Matthew Mumpower (mumpower@lanl.gov). We are not
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mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal
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scientific and research tasks in the field of social sciences and actively publish in internationally recognized journals on WoS Experience with tools and software for qualitative data analysis is an advantage
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bioinformatics pipelines for the metabolomics data analysis and visualization of metabolomics data, support the integration of software tools for data (pre-)processing, biomarker discovery, and predictive
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related field. Proven experience in pediatric nutrition research and obesity intervention trials. Strong analytical skills with proficiency in statistical software and data analysis tools. Experience with