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(e.g. PDF, web) or equivalent evidence (e.g. computer programs, video, design artefacts, publications) demonstrating the technical and creative competencies listed above.Short-listed candidates will be
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classification. To study how to incorporate expert feedback into a semi-supervised learning model, and how to efficiently compress and run the model on embedded devices. To combine heterogeneous data streams
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systematically different. You will become an expert in predicting the pulsation characteristics of such binary products with numerical methods, e.g. the codes MESA and GYRE. These models will be directly
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of credits and marks obtained) List of references Publications/reports demonstrating CFD experience Overview of scientific code programming experience (incl. programming languages) English language proficiency