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developing and implementing complex risk management programs, self- insurance programs, and Workers' Compensation programs. Experience in forecasting and analysis of risk metrics. Experience working with
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, testing, and analysis of resilient and sustainable geotechnical systems using centrifuge modeling. The work will bridge advanced experimental testing with complementary numerical simulation to generate
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full
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research interests of the Mathematics Area at GSSI are: Analysis of PDEs in classical and non-classical fluid mechanics, dispersive PDEs, hyperbolic systems of conservation laws, pattern analysis, numerical
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planning meetings with other early childhood specialists and literacy coaches within and across regions Assist DESE CLSD team with the collection of data for statewide analysis and the creation of supporting
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other source documents and entering it into an Electronic Data Capture (EDC).May be responsible for numerous research trials simultaneously. Helps ensure the accurate collection of study- required
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(JCNS-1) Project 3: Combined X-ray and neutron single-crystal high-pressure diffraction in diamond anvil cells (JCNS-2) Project 4: Experimental and numerical investigation of the heat flow generated by
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. About This Role Develop, maintain, and document MEG preprocessing/analysis pipelines Integrate MEG-derived biomarkers with MRI-based measures for multimodal modeling and discovery Contribute
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for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik
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of helicity-preserving scatterers (dual or quasi-dual meta-atoms) in the microwave regime. The work will involve both theoretical and numerical aspects: understanding the conditions for duality symmetry and