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degree in Statistics/Economics/Applied Math/Computer Science or related fields Knowledge of regression analysis, statistical inference, familiarity with machine learning/prediction tools Experience with
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,USA and Europe nationals. You will be part of a world-leading team in correlative in situ imaging of advanced manufacturing processes, with strong links to synchrotron facilities and industrial
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process, and evaluation criteria are available at Future Forests Fellowship website .
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and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting the research in combining AI techniques with formal methods
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Pay Grade/Pay Range: Minimum: $48,600 - Midpoint: $60,800 (Salaried E7) Department/Organization: 214251 - Electrical and Computer Eng Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job
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assessments (LCA) to quantify the environmental impacts of proposed processes and compare them with conventional alternatives. Develop process models using industry-standard software (e.g., Aspen Plus, HYSYS
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-of-the-art characterizations techniques including XPS. Physical Requirements/Work Environment Office environment/no specific unusual physical or environmental demands. Application Process Information
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leave loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About
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understanding of the research process Desirable Application/Interview Experience of project coordination and supervision of other team members Desirable Application/Interview Ability to assess and organise
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fairly with dignity and respect. Candidates will be expected to demonstrate these key principles as part of the assessment process.