14 algorithm-development-"Prof"-"Prof" Fellowship positions at University of New South Wales
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Council and UNSW Sydney. The project seeks to advance the analysis of dynamical systems through the development of novel techniques in functional analysis, operator theory, ergodic theory, differential
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning algorithm for photovoltaic applications and utilising them for the investigation
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develop applications for competitive funding. The role reports to Professor Grosjean and has no direct reports. You will: Engage in individual and collaborative research aligned with disciplinary standards
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an ARC Linkage Project dedicated to developing and demonstrating an innovative zero-emission nitrogen removal process. This project aims to advance next-generation biological technologies for wastewater
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and confidentiality. Highly developed data analysis skills and experience in the use of several statistical packages. UNSW Benefits and Culture: UNSW offer a competitive salary and access to a plethora
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based at UNSW. The Postdoctoral Fellow (Level A) is expected to contribute towards the research effort of the School of Physics and UNSW and to develop their research expertise through the pursuit
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activities to develop their research expertise relevant to this field. The role of Research Fellow reports to the Associate Professor and has no direct reports. Some key skills required: A PhD in public health
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(Level A) is expected to contribute towards the research effort of UNSW and to develop their research expertise through the pursuit of defined projects relevant to their particular field of research
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any methodology, including oral history, gender history, the history of race and more. Post-Doctoral Fellows (Level A) are expected to contribute towards the research culture of UNSW and to develop
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), supporting expansion across NSW, SA, and VIC. The Fellow will: Develop a research agenda and deliver high-quality reports and publications. Apply quantitative education research methods and multivariate