CSIRO Postdoctoral Fellowship in Aquaculture Genetics
Core
Develop breeding strategies for high-performing, resilient, and adaptable aquaculture populations using quantitative genetics, genomics, and data science.
Role type
Postdoctoral Research Fellow (Aquaculture Genetics & Genomics)
Builds
Breeding decision-support tools and simulation frameworks for the aquaculture industry
Domain
Aquaculture, Genetics, Genomics, Data Science
Deliverable
production ML models
Required skills
Quantitative genetics, Genomic prediction, Statistical modelling, Computational analysis, Scientific programming (R, Python, C++), Large dataset analysis, Multi-objective optimisation, Machine learning, Bayesian modelling, Stochastic simulation, Software development
Preferred skills
Climate-resilience modelling, Artificial intelligence approaches
Technologies
R, Python, C++, Parallel computing
Responsibilities
Develop and evaluate next-generation quantitative genetic and genomic methods; Develop multi-objective breeding optimisation approaches; Build simulation and optimisation frameworks; Integrate genomic prediction into practical breeding decision-support tools; Validate methods using simulated and real datasets; Develop reproducible research software and computational pipelines; Publish research findings and communicate with industry.
Seniority
Postdoctoral (Early Research Career)