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, biologists, and clinicians. Key responsibilities will include: Research: Develop nanomaterial-based technologies for molecular detection and cell analysis. Integrate biosensing components (e.g., optical
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Initiative, applying their expertise in field experimentation, weed science, and data analysis to generate impactful findings that inform best practices in agriculture. The position offers a unique opportunity
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Postdoctoral Research Fellow, you will play a key role in advancing genetic research in weeds and plants, applying molecular techniques and statistical analysis to understanding the evolution of weed populations
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Australian National University | Canberra, Australian Capital Territory | Australia | about 10 hours ago
, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning
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through innovative science and technology. Many of our iconic innovations were once considered impossible until someone, just like you, joined us and took on the challenge. Visit CSIRO.au for more
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budgets, resources, and projects to ensure efficient and effective use of resources. Conduct research and analysis of comprehensive literature reviews and database searches. Plan day-to-day research
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to theoretical components of the project including analysis of results , manuscript preparation for publication, and potentially assisting in the supervision of graduate students. How to Apply To be considered
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. Demonstrated high level of written and oral communication skills. Preferable Experience in eukaryotic cell culture/tissue culture Expertise with advanced graphing and/or data analysis software (Prism, Origin Pro
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geographically dispersed teams and stakeholders. Research Expertise in both qualitative and quantitative methods, including data management and analysis. Strong Organisational Skills with the ability to work
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 18 days ago
deep learning theory and practice. Applicants with expertise in probabilistic modelling, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine