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Field
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School of Molecular Sciences ARC Centre of Excellence in Plants for Space Integrate advanced cell imaging and synthetic biology to create and characterise the first fully artificial plant chromosome
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access to state-of-the-art analytics and a robust cross-functional scientific community. The Opportunity: You will be part of the Genentech post-doctoral training program that provides an outstanding
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contribution to society. Required Qualifications* PhD in computer science, computational biology, or related quantitative fields. Strong oral and written communication skills Desired Qualifications* Generative
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tissue engineering approaches. The ideal candidate will have comprehensive knowledge and strong interest in pursuing musculoskeletal biology and/or microphysiological systems, with a willingness and track
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work on both probabilistic modeling, software development, and cancer biology analysis for this position. PhD in computer science, computational biology, or related quantitative field. Strong oral and
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about to submit) a PhD in Physics, Mathematics, Computer Science or related discipline in the Physical Sciences. No prior knowledge of biology is required but willingness to work at the interface
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. Required Qualifications* PhD in computer science, computational biology, or related quantitative field. Strong oral and written communication skills. Desired Qualifications* Computational biology experience
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or animals, animal behavior, ecology, evolutionary biology and computational/theoretical biology. PhD graduates receive world-class training, participate in cutting-edge and often interdisciplinary research
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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related field such as Computer Science, Biomedical Sciences, Molecular and Cellular Biology, or Cell Biology, with demonstrated computational expertise. Individuals with background in physical sciences