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between-sample variability and optimise the reliability of downstream quantification estimates from eDNA data. Establish sampling, laboratory, or bioinformatic methods, in conjunction with new sequencing
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. Ability to motivate research (importance/significance) 2. Potential for academic impact 3. Potential for policy impact 4. Innovation in method 5. Presentation ability/communication Each
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collegial environment while making a meaningful impact on the future of pharmacy. Your key responsibilities will be to: Conduct high-quality and independent research in nanospectroscopy methods
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methods within in-house grid modelling platform to inform the design of Australia's carbon-neutral energy value chain, including emerging renewable fuels markets. The successful candidate will contribute
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energy transition. This role focuses on the development and application of advanced forecasting and scenario analysis methods within in-house grid modelling platform to inform the design of Australia’s
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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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analysis to estimate ecological parameters, and implementing models in Matlab. You will work closely with a diverse team of around 20 field ecologists and modellers, as well as international collaborators
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and develop an optimal (efficient, cost effective, easy to use) technological operational method for detecting and estimating wallaby populations and dynamics. What you’ll do: Develop a technological
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Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record (relative to opportunities) in research on disaster management, extreme contexts, and resilience including a body
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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials