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Fellow, you will: Conduct qualitative and quantitative data analysis, including qualitative coding, mixed-methods analysis, and/or network mapping as appropriate. Manage and ensure the ethical handling and
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sciences, spatial statistics and genetics. Your responsibilities will include but are not limited to: Developing code and using statistical software to manage and analyse data Contributing to the drafting
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 days ago
demand. The position will also involve the mapping of ‘cryobanks’ worldwide and cold chain networks for cryobanking services. The candidate will be expected to engage in scientific dissemination and
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awareness, information seeking, etc. Demonstrated experience in using machine learning, including for image processing. Demonstrated software engineering/development abilities, and the use of tools
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experience in conducting original research and engaging in scholarly activity proven experience supervising and mentoring others a developing research profile in area of expertise a developing network of
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 8 days ago
are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of the Australian Network on Disability. We welcome applications from people of all
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genomics infrastructure, specialist expertise, and strong collaborative networks to generate large-scale Environmental DNA (eDNA) and whole-genome sequencing datasets. Our work establishes a genomics-enabled
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genomics infrastructure, specialist expertise, and strong collaborative networks to generate large-scale Environmental DNA (eDNA) and whole-genome sequencing datasets. Our work establishes a genomics-enabled
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(Japanese-based staff). Please note for the purposes of this program early career researchers are defined as academic staff who have completed their PhD within the last ten years. South Australian Applicants
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methodology and facility development. PhD (or equivalent) in a relevant field with extensive proteomics research experience. Advanced expertise in mass spectrometry techniques and data analysis software. Strong