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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
ecological trade-offs and trait-based approaches to understanding plant strategies. Experience managing and analysing ecological datasets with proficiency in R or other statistical programming environments
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mathematics, statistics, computing, or biology. Applicants with a strong quantitative (particularly applied statistics) or computer programming background, combined with marine biology, will be favoured
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-economic forecasting Proficiency in scientific programming (preferably Julia, Python or Matlab) Competence in data analysis and probabilistic modelling techniques Experience with energy modelling
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, biostatistics, data science, computer science, bioinformatics or a closely related discipline strong programming skills in R or Python experience developing or applying methods to complex or large-scale
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applying AI or machine learning to scientific problems, with proficiency in Python or equivalent programming tools. experience in experimental design and validating computational predictions against
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computation and scientific programming a strong research record and excellent communication and collaboration skills How to Apply Applicants are required to submit three documents as part of their application
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the State or enrolled at one of their universities. For information consult the following: https://www.gwnsw.org.au http://www.afuwsa-trust.com.au/postgraduate-scholarships/ http://gwq.org.au/awards
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STATA are preferred but professional development can be provided where necessary. The successful candidates will work under the supervision of Professors Maria Inacio ( https://research.sahmri.org.au
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: https://pierrickbourrat.com/ Prof. David Raubenheimer: https://profiles.sydney.edu.au/david.raubenheimer Emer. Prof. Paul Griffiths: https://tmbiosci.org/person/?personId=90 How to Apply Please apply
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 7 hours ago
of the team, please visit the following websites: Dr Pierrick Bourrat: https://pierrickbourrat.com/ Prof. David Raubenheimer: https://profiles.sydney.edu.au/david.raubenheimer Emer. Prof. Paul