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, and statistical analysis. Strong skills in econometric and statistical software (e.g., Stata, R, Python). Knowledge of retirement income systems, asset drawdown behaviour, and housing wealth
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, implementation, and statistical analysis. Strong skills in econometric and statistical software (e.g., Stata, R, Python). Knowledge of retirement income systems, asset drawdown behaviour, and housing wealth
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discipline demonstrated expertise in research design, human data collection, and analysis experience programming in MATLAB and/or Python an interest in, or willingness to develop skills in, neural mechanisms
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sheet modelling demonstrated through a record of publications in scientific journals. Excellent programming skills (e.g. Python, MATLAB, Fortran) and ideally also experience in High-Performance Computing
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multiple programming languages, including R, Python, MATLAB and/or shell scripting. Well-defined skills in the visualisation of neuroimaging and neuroscience results. The analysis and interpretation
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of publications in scientific journals. Excellent programming skills (e.g. Python, MATLAB, Fortran) and ideally also experience in High-Performance Computing. Demonstrated high level skills in
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, Psychology, or a related field. strong background in computational modelling and/or functional neuroimaging techniques. proficiency in programming languages commonly used in neuroscience research (e.g., Python
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-disciplinary team in advancing applied research in 3D deep learning and forest science programming experience in Python and experience using deep learning tools such as PyTorch, Keras and/or Tensorflow ability
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of the postdoctoral researcher will include: To work closely and proactively with Prof Anton van den Hengel to scope and develop research ideas. To develop algorithms, machine learning models, Python modules
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ideas. To develop algorithms, machine learning models, Python modules, demonstrators and training pipelines for publication and translation into commercial products that can be widely and reliably adopted