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candidate will investigate the role of ER-phagy in maintaining endoplasmic reticulum (ER) homeostasis and explore how dysregulation of this pathway contributes to human disease. Applicants should hold a PhD
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should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep
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begins. By studying the primary minerals, the work will explain the origins of the continuum parameters for London clay used in design and analysis. An important part of the work will be branching out
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polymer films, data analysis, preparation of technical reports and manuscripts, and supervising junior researchers. Qualifications The successful candidate is expected to possess a PhD degree in materials
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innovative post-processing methodologies for air quality forecasts generated by chemical transport models—through statistical analysis of results and comparison with observational data—thereby contributing
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pūkeka me kā wheako • A PhD in molecular biology or a related discipline. • Experience in microbiology, proteomics, bacterial genetics and analysis of large datasets is highly desired. • Organised
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assimilation on weather prediction Perform data-preprocessing, quality control, error modelling and correction Write reports and scientific publications Job Requirements: PhD qualification degree in Atmospheric
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. The position reports to Associate Professor Elizabeth Williams at UNSW School of Science and has no direct reports. Who You Are (skills and experience): A PhD in nuclear science, human-computer interaction
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interview data, to disseminate research findings, and to assist with the planning and delivery of the research activity so that the overall research objectives of the project are met. This work is being
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Research Fellow (Robotics & System Development) Required Qualifications PhD in Mechanical, Mechatronics, Robotics, Aerospace, Electrical Engineering, or related disciplines. Key Responsibilities