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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial
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the position description. ● Work with large, high-dimensional datasets. ● Lead and contribute to manuscripts for high-impact journals (e.g., top Statistics journals and Nature-like journals). ● Present findings
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the human musculoskeletal system, or experience providing engineering, hardware, statistical, or algorithmic support for such research (e.g., in biomechanics, biomedical signal processing, analysis of data
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methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
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, bioinformatics, statistics, or genomics. Previous experience working with insect vectors is not essential and we would encourage all researchers interested in harnessing the power of genomics, and big data
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therapies in preclinical mouse models Perform EEG and behavioral assessments of the effects of experimental therapies in mouse models Assistant with management and genotyping of mouse colonies Use statistical
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, markers and candidate genes analyse genetic and disease-screening data using appropriate quantitative-genetic, statistical and genomic approaches deliver research outcomes and milestones in accordance with
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publication record. Demonstrated experience analyzing other Canadian public transport projects. Proficiency in discrete choice and behavioral statistical modelling using R. Proficiency in microsimulation and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
, statistical analysis, and version control (Git) beneficial. Hands-on laboratory experience with precision instruments, optical testing experiments, and scientific instrumentation. Experience with vacuum systems
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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
, transcriptomics, and single-cell biology. Qualifications Required • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics, or a related quantitative discipline. • Candidates