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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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the acquired data, and prepare a report; c) Prepare a CFD model of a boiler burner for combustion analysis, apply reacting flow models, perform computation, study propensity to flash-back, calculate noise
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for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is desirable. Please
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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing
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closely with our academics providing specialist support for external engagement and development. Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop
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pharmacology and pharmacometrics. Performs advanced quantitative pharmacology and pharmacometric analyses and activities within assigned programs to yield high value PK/PD support for critical decisions and dose
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interdisciplinary team on developing high performance urban farming module via computational and empirical analysis Support in the design and maintenance of the vertical farm to be setup in SIT@Dover and willing
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on Nature and Climate (AANC) led by Professor Gail Whiteman, the inaugural Hoffmann Impact Professor for Nature and Climate. The Nature and Climate Impact Team is a unique, high-performing team which
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (HSSR/TJ) Posting Start Date: 08/07/2025 Job Description: Job Description The Signature Research Programme in Health Services