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solve research challenges and model development, as applicable. ● Contribute discrete components of a larger project under the general direction of a senior or principal researcher. ● Prepare complete
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on inverse multiple-scattering algorithms. Implement and evaluate both linear approximation models and nonlinear high-order scattering approaches for accurate imaging of thick and strongly scattering
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in spatial analyses Excellent scientific writing skills, including ability to lead high quality multiple-authored journal papers in an efficient manner Strong ability to work independently and to
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population changes, and other demographic parameters (survival, fecundity, reproductive success, etc.). These integrated population models (IPMs) are increasingly used in ecology. They offer clear advantages
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. Continuous observations, carried out over long periods, are at the heart of the research conducted at ISTerre. They are essential for understanding, modeling, and anticipating the natural processes visible
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, the following non-mandatory skills will be positively considered: have experience in the modelling of the relation between environmental exposures and human health, e.g. distributed lag nonlinear models, spatial
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differential equations (PDEs) and modelling with PDEs. More information on ongoing research at the department can be found here. Each year, LTH admits more than 1000 new students to its engineering programmes
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, and spatial organization, crucial especially in early developmental stages but relevant throughout life. Drawing from cellular and molecular biology, it delves into embryology, morphology, genetics
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University of California Agriculture and Natural Resources | Oakland, California | United States | 2 months ago
appropriate test formulas and performs computations such as multiple and partial correlation coefficients, t-tests, Chi-square, ANCOVA, linear and logistic regression, multilevel modeling, spatial analyses
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such as R, SAS, ArcGIS, SQL, Python and AI tools. Conducts geospatial and epidemiologic analyses relevant to the catchment area to assess cancer outcomes, spatial patterns, temporal trends, and disparities