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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
output, and strong computational skills (Linux, Python, R, HPC). You’ll bring experience handling large genomic datasets, developing analysis workflows, and contributing to funding bids. Strong teamwork
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
looking for a motivated researcher with a PhD (or near completion) in fungal genomics or a related field, proven research output, and strong computational skills (Linux, Python, R, HPC). You’ll bring
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experience in hardware implementation and experimental validation of robotic systems; and demonstrated proficiency in robotics programming and simulation environments (e.g., ROS, MATLAB/Simulink, C++, Python
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metrics, or similar frameworks. Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high-performance computing (HPC
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-object tracking in challenging conditions such as occlusions, crowded scenes, and object re-identification. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g
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, energy systems optimisation, techno-economic forecasting, or agent-based modelling proficiency in scientific programming (preferably Julia, Python, or MATLAB) competence in data analysis and probabilistic
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communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is desirable Knowledge and interest in wine is desirable Applying: Expression of
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) Proficiency in R and/or Python programming for data analysis Strong written and verbal communication skills, including scientific writing Demonstrated previous experience and competency in the management
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data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and
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experience in python, C++ or other relevant language and experience in deep neural networks Strong mathematical capability, especially for Theme 1, with applicants holding an undergraduate or postgraduate