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can be tackled. A video describing the project can be viewed here: https://www.youtube.com/watch?v=IzPuuBnrIDc . The successful candidate will be developing Bayesian models for estimating
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nearby genes and how this promotes development. A subset of these retrotransposons splice with nearby protein coding genes, generating embryo and species specific 'chimeric transcripts' that form hundreds
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-based code optimisation. You will develop novel techniques that harness the power of machine learning to create optimisation strategies for compilers and memory management libraries for next-generation
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members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-USFS-IITF-2025-0069 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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Values in Action: Our Behaviours and the UNSW Code of Conduct. Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions
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and spatial data. The products of the lab include physical prototypes, software, video media, and scholarly texts treating the imbrication of geometry, data, and technology with design. Current and
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity
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, applied mathematics, statistical physics, biology, or a related field. Reasonable communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with