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boundary layer. The candidate will first deploy a multivariate emulator of key variables governing Arctic sea ice dynamics, trained on high-fidelity simulations developed at IGE. This emulator will be
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statistical workflows to analyse AUV and BRUV datasets collected along the Northern Ireland–Donegal Bay coastline. Using machine-learning and multivariate modelling approaches, they will quantify habitat
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intelligence models, and visual analytics tools that integrate urban data, forestry data, temporal and multivariate network modelling, and simulation of infection dynamics in Swedish city environments
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is typically 3-years and potentially renewable. The primary responsibilities are: teaching and coordinating entry-level courses through multivariable calculus and linear algebra training and
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decision analysis. Essential criteria Excellent ecosystem assessment, multi-criteria and multivariate analyses skills Excellent economic valuation and participatory mapping skills, including advanced skills
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. Depending on departmental need, these courses may include sections of entry-level calculus courses through multivariable calculus and linear algebra, a non-sectioned course taught independently, and possibly
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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Join us to develop physics-guided, data-driven foundation models for multivariate time-series in safety-critical systems, with a primary focus on automotive applications. You will design predictive
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urban data, forestry data, temporal and multivariate network modelling, and simulation of infection dynamics in Swedish city environments. The doctoral student will work on the design and implementation
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to multidisciplinary projects on heat, environment, and human health. This position is embedded within Project HEATS (link: https://www.linkedin.com/company/project-heats/about ) and related initiatives which combine