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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 22 hours ago
and machine learning, galaxy formation and simulations, integral field unit observations. Applications are encouraged from researchers who wish to undertake novel and collaborative research as part of
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spectroscopy and stellar abundances, stellar structure and stellar evolution, chemical evolution modelling, large survey data, statistics and machine learning, galaxy formation and simulations, integral field
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of optimisation solvers and proficiency in machine learning algorithms and their practical implementation in Python. In addition, to be appointed at Level B you will need: A completed PhD (preferably conferred
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of optimisation solvers and proficiency in machine learning algorithms and their practical implementation in Python. In addition, to be appointed at Level B you will need: A completed PhD (preferably conferred
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/photovoltaic-and-renewable-energy-engineering/our-research/research-activities/characterisation-defects-machine-learning Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical
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of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose of providing actionable information. Analysis
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. This position will involve the development of data analysis techniques (including machine learning) and process-based algorithms to diagnose and interpret high-frequency hydraulic data for the purpose
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the Dementia Research Centre. THE ROLE Salary Package: Level A, Step 6-8 (PhD $102,501-$109,852) plus 17% Superannuation and annual leave loading Appointment Type: Fixed Term employment for 12 months (with
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literacy with a good knowledge of relevant computer programs, and ability to work across and connect these as needed. Desirable criteria – you may have (or be willing to learn) the ability to write research
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collaboratively with internal and external stakeholders. You will also have: A PhD in AI, Machine Learning, Natural Language Processing, or closely related discipline; Excellent ability in analysing data, problem