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, satellite altimetry, ice flow maps and terminus positions and other relevant data to constrain numerical model to simulate 1900-present and future (present-2100) ice flow changes under different UN IPCC
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modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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one programming language (e.g., Python, Matlab, Stata, Excel, R). Fluency in English, both written and spoken. Familiarity with the policy context in The Netherlands, as well as the ability to write and
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effects. This approach will then be deployed to simulate the behaviour of bubbles over a range of flow conditions and heat transfer surfaces with different characteristics. This data set will finally be
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and corrosion Developing a validated solvent degradation Process simulations of absorption-based CO2 capture with different process designs and industrial cases Combine the solvent degradation model
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engineering and/or timber engineering. Experience in scientific timber-related laboratory work Knowledge of Finite Element software programs (e.g. Abaqus and OpenSees or similar) Programming skills (e.g. Matlab
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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driven research Maths competency and experience with statistics in research Software competency: ImageJ, Matlab, Graphpad Prism, R Evidence of Github use An interest in cardiovascular physiology
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data from different regions and link the findings to relevant processes of the soil-plant system International travel to Uruguay & Ireland to perform combined field trails Your Profile: Master’s degree