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all year round Details This PhD project will start by exploring the current state-of-the-art hybrid magnetohydrodynamic (MHD) particle beam flare models of Ruan et al. (2020), and Druett et al. (2023
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Thessaloniki, Greece, you will design, develop, and deploy advanced AI/ML solutions within the EU-funded projects K3Y participates in. You will ensure the timely delivery of high-quality AI models, prototypes
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for energy systems Digital twins and energy analytics Energy communities and electricity markets Energy system modelling and optimisation Green hydrogen technologies Key Responsibilities Conduct high-quality
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-, outcome- and sensory-guided actions, and how these processes are disrupted in genetic neurodevelopmental disorder models, including autism, OCD, ADHD, and intellectual disability. Postdocs will work in a
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of corporate responsibility and performance and their empirical application in modeling the relationships between constructs based on data from a sample of companies. The expected output will be a model
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thesis lies in linking the market perspective with the grid perspective. Based on this, suitable modeling and integration approaches shall be explored in order to analyze different ways of considering grid
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University of California Riverside School of Medicine | Riverside, California | United States | 16 days ago
-model, peer mentor, and advocate for the Internal Medicine residents. - The PGY4 Internal Medicine Chief Resident position requires a commitment to fulfilling academic and administrative responsibilities
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initiation and evolution. Different rheological parameterizations of yield-strength and dislocation creep will be compared in regional and large-scale numerical models of mantle dynamics. We will in particular
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Postdoctoral Research Fellow position, focussing on mechanistic modelling of pharmaceutical processes. This role offers a unique opportunity to join a dynamic research team focused on advancing the understanding
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preparation and testing or powder mixtures, and then to devise predictive models (possible using machine learning approaches) for the estimation of mixture properties from pure component propeties. The PhD