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Bayesian inference, likelihood-free inference, uncertainty quantification, identifiability analysis, or scientific machine learning. Strong programming skills (Python, Julia, Matlab, C++, or similar). Strong
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Strong programming expertise in Python and experience with frameworks such as PyTorch, Hugging Face Transformers, or equivalent tools Demonstrated ability to develop scalable, automated, and reproducible
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ultrasound sensing and hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity
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data analysis (e.g., surveys, focus groups, experiments, content analysis) Experience or coursework in computational methods and data analysis (e.g., Python, R, NLP techniques). Familiarity with grant
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• PhD in Mathematics/Statistics/CS. Skills: • Proficiency in reinforcement learning, quantitative finance, risk management, and machine learning. • Strong programming skill in Python
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existing pipelines (R/Python) and contribute to development of reproducible analysis workflows. Maintain meticulous experimental records, data organization, and documentation. Support data analysis and
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team environment. Knowledge of R or Python, experience of high-throughput proteomics and sample-handling automation, or experience with targeted mass spectrometry would be advantageous. Applications
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. Python programming, or a willingness to learn. Higher degree student supervision. Strong initiative, resourcefulness and the ability to work effectively to deadlines. About UQ As part of the UQ community
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mechanical fabrication; • embedded systems and sensor integration; • ROS, C++, or Python programming. • Candidates should demonstrate strong practical problem-solving skills
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bioinformatics and/or biostatistical analysis applied to biological data. Experience in programming and handling programming languages applied to biological data analysis (e.g., R, Python). Competencies: Ability