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derivation and implementation of numerical methods for multiscale field problems. In addition, experience with high performant computing languages is desired, while knowledge of available third-party
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part is the study of the scalability of the design for relevant power output designs. This position is available in the Energy Systems & Control group (ES&C) of the Fusion Energy department at DIFFER
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background in mathematical derivation and implementation of numerical methods for multiscale field problems. In addition, experience with high performant computing languages is desired, while knowledge
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for multiscale field problems. In addition, experience with high performant computing languages is desired, while knowledge of available third-party simulation tools such as `gmsh` is regarded as helpful
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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies