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economy ecosystem” The sub-projects are ‘Building public trust in upcycling’ and ‘Designing upcycling business ecosystems’. You will conduct independent and collaborative research with Prof Jo Lindsay and
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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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modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to
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experience. Experience in analysing large, complex ecological or biodiversity datasets. Strong proficiency in statistical modelling, including experience with species distribution models, community ecology
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(Academic Level A) Based at our St Lucia Campus with fieldwork primarily in Palau About This Opportunity We invite applications from motivated Field Ecologists with expertise in mapping coral distributions
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postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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contact Prof Matthew Barnett (Deakin Distinguished Professor) on matthew.barnett@deakin.edu.au For a copy of the position description, please see below: PD - Associate Research Fellow - 576217.pdf
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, a short cover letter and responses to the Key Selection Criteria. For a confidential discussion regarding this role, please contact Prof Matthew Barnett (Deakin Distinguished Professor
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, please feel free to get in touch directly with Prof. Zreiqat via email hala.zreiqat@sydney.edu.au Sponsorship / work rights for Australia Work Rights: you must have unrestricted work rights in Australia