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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in
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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in
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. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
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., generative AI, speech/audio signal processing, machine listening or immersive media Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and
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across the study team including: overseeing data transfer agreements between institutions; version-controlling and archiving code and leading data cleaning, harmonisation and analysis. Throughout
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Faith Gibson. The James Lind Alliance Teenage and Young Adult Cancer Priority Setting Partnership (PSP) research priorities were published in 2018 (final report available from: https://www.jla.nihr.ac.uk
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detailing why you are interested in this job also answering the criteria questions. Further details Job Description Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408216/clinical
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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid
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experience in the development of first-principle wave models. Recent research experience in the development of numerical codes for complex electromagnetic scattering scenarios, and the use of full-wave
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listening or immersive media Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and creative disciplines Strong programming skills, Python