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support or adjustments. Applications close Monday, 2 June 2025 at 11.00pm AEST (R-49992). Please note that interviews have been tentatively scheduled for early June 2025.
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the master's degree has been awarded. The candidate must have good knowledge in atmospheric dynamics. Proficiency in scientific coding and data analysis (e.g., Python, MATLAB, R, C++, FORTRAN) is required
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data science, machine learning preferred. - Strong programming skills in R and/or Python required. We invite applications from qualified candidates who share our commitment to employment equity and
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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research
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. Documented experience with Bayesian spatiotemporal modelling, including experience with the INLA framework for Bayesian inference Documented experience with programming in either Python or R. Foreign completed
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integrated biopharmaceutical team across External Innovation and Partnering, R&D, Manufacturing and Commercial operations collaborates. With Ipsen’s footprint in Cambridge, as a North America headquarters in
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) nomination packages for prestigious awards and professional society fellowships such as IEEE, AAAS, AAA&S, R&D100, and NAE/NAS awards Lead and facilitate seminars covering topics ranging from creation
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(SAS and SQL and occasionally STATA and R); • Demonstrated knowledge of research processes, systematic reviews, and syntheses; • Education/training and experience in quantitative research methods
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Synapses: Learning what (not) to forget. (ECCV’18) R Aljundi, F Babiloni, M Elhoseiny, M Rohrbach and T Tuytelaars Code: https://github.com/rahafaljundi/MAS-Memory-Aware-Synapses Theme C Vision&Language
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statistical programs (e.g., SPSS, Mplus, R). This position requires advanced research experience including research literacy and writing experience, as well as advanced statistical and research methods