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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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, such as Python, MATLAB, or R. • Demonstrated experience in digital twin, EMIS, and data analytics. • Demonstrated experience in database management, dashboard development, and cloud platforms
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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
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, spreadsheet or statistical software applications or program platforms including R, SAS, Python, and MPlus. · Acquires Specialized Training. Attends trainings and skill development workshops as necessary
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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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experiences in GNSS data processing Strong computation skills with experience using MATLAB and/or Python Excellent written and verbal communications skills Evidence of being able to work both independently and
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optimization algorithms is highly desirable Excellent programming skills in Python, C++, Java, Julia, or other relevant languages Knowledge of maritime decarbonization and alternative fuels is a plus A good
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++ or Python) We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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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