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presents an exceptional opportunity for a suitably qualified and motivated individual to engage in applied research at the intersection of artificial intelligence , process monitoring , machine learning
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research partners Proficiency in DAMASK, AMITEX, Abaqus & MOOSE Experience with MTEX & DREAM3D (advantageous) Application of machine learning (e.g. Gaussian Process) for surrogate modelling & uncertainty
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. Demonstrated skills in longitudinal modelling and data synthesis, including machine learning, regression and GLM. Demonstrated ability to undertake high quality academic research in the field of dementia
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skills in conducting data linkage analysis such as survival analysis and regression analyses. Experience in working with computer-based data acquisition and analysis systems. Ability to develop
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://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process. For current UTAS staff, in submitting your application, you acknowledge you have/intend to discuss your interest in
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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in a relevant discipline, with an
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Higher Degree by Research candidates, while fostering researcher development. Citizenship and Service: Contribute to academic service and engagement by supporting internal committees and processes
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/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion or near completion of a PhD in the area of plant science, ideally with a focus or use of
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flexible start/finish times, and genuine career progression opportunities via the academic promotions process. Questions? For more information about this opportunity, please contact Professor Paul Hodges
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applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload: Resume Cover letter addressing the relevant ‘About You’ section