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Engineering School of Computer Science School of Electrical and Computer Engineering All positions are full-time continuing (tenure-track), teaching and research roles based in Sydney, however flexible working
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: developing and testing new approaches to water resources modelling, application of Bayesian inference methods to environmental problems, machine learning and data science applications, undertaking analysis and
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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and Ar-Ar geochronology, fission-track and (U-Th-Sm)/He thermochronology, vitrinite reflectance, and thermal history models. New relational data models data for incorporating methods such as include
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collected data from sampling larval, juvenile and adult fish using a variety of methods (seining, BRUVs) and acoustic tracking to measure fish movement and connectivity. Expected outcomes of this project
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tracking appointments, maintaining accurate records, and communicating effectively with patients, clinicians, and stakeholders. Your key responsibilities will be: scheduling telehealth assessments and
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the transferring of requisitions from the MyLab system into the financial system (UniBuy/Ariba) ensure all information is accurately transcribed into the new requisitions ensure all items are tracked, including
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documentation for Child Safety programs. develop and deliver communication: Assist in creating and disseminating child safety communications in line with our action plan. data management and reporting: Track
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candidates who do not completely fulfil all criteria to the level specified. The level of appointment will be determined during the selection process, based on experience and track record. Applicants with a
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, and disease risk management, with a focus on food security, environmental sustainability and resilience. The successful applicant will have a PhD in a relevant field, a track record of excellence in