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on collaboration across scientific disciplines and geographic locations. In addition, many of these technologies rely on the synthesis, integration, and analysis of large, diverse datasets that benefit from high
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, editing, and costing funding bids, gathering intelligence about funding opportunities, providing training to staff to enhance their knowledge and skills in securing external funding, providing data analysis
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simulations, analysis of the model results, and data analysis Prepares research presentations, manuscripts, and proposals Additional duties and responsibilities: Assists in coordination between modeling, field
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, facilitating continuous improvements to mental health services for the benefit of young people in Australia. Your key responsibilities will be to: undertake analysis of clinical, biological, and behavioural data
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Model effects through the analysis of data from the LHCb experiment. Working within Monash’s experimental particle physics group, you will contribute to research that complements and extends the group’s
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on the function of the flagellar T3SS ATPase complex: construction and analysis of Salmonella mutants, secretion and motility assays, protein biochemical characterization - application of super-resolution
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Closing date: 17th September 2026 Background Applications are invited for a 2 year full-time Post Doctoral Research Fellow with bioinformatics expertise to contribute to the analysis of large datasets
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and performance prediction; Finite-element electromagnetic analysis; and Machine topology development, design methods and optimisation. Your experience does not need to be in a particular machine
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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Center for Drug Evaluation and Research (CDER) | Saint Louis, Missouri | United States | about 14 hours ago
. Advance skills in chemometrics and quantitative data analysis by applying multivariate and post-acquisition processing approaches to complex spectroscopic and imaging datasets and developing reproducible