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wireless communication for mass-market client devices and pave the way for miniaturization and cost reduction. In the initial stage, the project will model the entire communication chain to understand and
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include theoretical results, mathematical proofs, and computational algorithms, as well as open-source software and validation through simulations and analysis. Experimental demonstration is an option if it
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processes and circularity will be a bonus. Process system engineering models (e.g. superstructure model, material flow model, P graph, process simulation, etc.) Data-driven modelling and/or artificial
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performance. These models will be combined into a multi-physics framework capable of predicting reactor behaviour during normal operation and transient conditions. You will validate simulation results using
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modelling is an advantage. Strong quantitative skills and interest in statistical modelling, or simulation approaches. Experience with R, STATA, Python or similar software. Ability to work independently and
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building models (impervious and with openings) capturing loads and pressures on various structural elements, both horizontally and vertically. Integrating experiments with numerical simulations (e.g. CFD
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Infrastructure? No Offer Description Challenge: Developing, operationalizing, quantifying, and embedding complex human and legal values into alignment pipelines for AI systems, open-weights, and foundation models
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interpret thermodynamic datasets describing element behavior under EAF and REF conditions Integrate experimental results into thermochemical models (e.g. FACTSage) to support process simulation and
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a strong basis in advanced statistics (e.g. mixed-effects models, cross-lagged panel analysis, latent class analysis; preferably in R) and research methods. Experience with existing panel data is a
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down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility