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computational methodologies alongside experimentalists developing new wet lab methods and to produce relevant publications. You should have extensive computational experience in transcriptomics, including
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delivery, public health principles and chronic disease prevention and health promotion methods, but also a passion for research, community engagement, and collaborative problem-solving. Experience in, and a
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committees as necessary. This position requires a deep understanding of NSW health service delivery, public health principles and chronic disease prevention and health promotion methods, but also a passion for
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computational methodologies alongside experimentalists developing new wet lab methods and to produce relevant publications. The successful candidate should have extensive computational RNA biology experience
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relevant background in information extraction, entity resolution/entity linking, machine learning, uncertainty modelling, explainable AI, or a closely related area, with a PhD (or near completion) in
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molecular dynamics simulations to model structural, thermodynamic, and electronic properties. - Contribute to open-source software, benchmarks, and datasets that advance the global materials community
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record and demonstrated research leadership. We welcome applications from outstanding recent PhD graduates as well as candidates with postdoctoral experience who are seeking to establish or further develop
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of brain development and neurodevelopmental disorders. This person will apply and develop computational methods to analyze datasets of varying modalities, such as RNA-seq, ATAC-seq, and spatial
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bringing transparency to this emerging science. About the role The post holder will develop diagnostic and other biomedical sensing methods using the optical and spin properties of molecular quantum
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accurate, comprehensive and clear records. Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where