60 parallel-computing-numerical-methods-"Prof" Postdoctoral research jobs in Australia
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Develop scalable single-cell genomics and massively parallel screening pipelines for plant synbio parts discovery, construct evaluation, and plant characterisation Full-time appointment on a fixed
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functional genomics and molecular mechanisms to lead the next phase of our causal target validation program. This role sits at the interface of cutting-edge genomic discovery, mechanistic biology, and
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Develop scalable single-cell genomics and massively parallel screening pipelines for plant synbio parts discovery, construct evaluation, and plant characterisation Full-time appointment on a fixed
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. Curiosity and initiative – motivated to learn new methods, improve workflows, and contribute ideas to enhance the lab’s computational capabilities. Commitment to scientific excellence – values rigour
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in physics, geomechanics, geotechnical engineering, experimental methods, and simulation techniques, as well as access to state-of-the-art experimental facilities. Supervisors: A/Prof Pierre Rognon
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, experimental methods, and simulation techniques, as well as access to state-of-the-art experimental facilities. Supervisors: A/Prof Pierre Rognon, Prof David Airey, Dr Benjy Marks Institution: SciGEM, School
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, experimental methods, and simulation techniques, as well as access to state-of-the-art experimental facilities. Supervisors: A/Prof Pierre Rognon, Prof David Airey, Dr Benjy Marks Institution: SciGEM, School
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the research effort of UNSW and to develop their research expertise through the pursuit of defined projects relevant to their particular field of research. The role of Post-Doctoral Fellow reports to Prof Bing
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and materials science to work within a research group led by Prof. Antonio Tricoli at the University of Sydney. The team has advanced research on materials science, nanotechnology, functional materials
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of computer vision and natural language processing. The appointed candidate/s will be working directly with CAR Director and Chief Scientist of AIML, Prof Anton van den Hengel and his research team to publish