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(e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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for developing and leading analytical and modelling components of internationally collaborative projects funded by the Gates Foundation, and in partnership with ministries of health, academic partners, programme
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underpinning a new national screening program for type 1 diabetes in children Academic Level A from Base from $89,831p. a (Pro Rata) and Level B Base Salary from $127,436 p.a. (pro‑rata) + 17% superannuation
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highly qualified, self-motivated post- doctoral fellow to join our research program in computer-aided diagnosis and AI (CAD-AI). Responsibilities* The research will involve development of decision support
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(PrairiesCan) , the Life Sciences Fellowship program takes early-stage startups with technology-driven solutions to important problems and adds funding, technology development resources, professional development
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day-to-day administrative coordination of this programme of work, including assisting with the preparation of essential study documentation, and supporting participant recruitment, data collection, and
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executing experiments, and contributing conceptually to the overall research programme. Good organisational and communication skills and the ability to work as part of a team are essential. This is a full
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. Familiarity with programming languages such as MATLAB and Python, and the ability to work with large imaging datasets Excellent communication and presentation skills, with the ability to prepare high-quality
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, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and ethics. Work with others to maintain a high level of scientific productivity