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Data Science Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and unsupervised machine-learning techniques Ensemble learning and predictive
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Data Science Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and unsupervised machine-learning techniques Ensemble learning and predictive
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in either Python or C++ or any computer programming language Outstanding communication skills with fluency in both written and spoken English We support Women in STEM Project funding Project based scholarship Learn more about minimum entry requirements .
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. The candidate must be able to implement custom training loops, handle complex data pipelines, and modify model architectures. Software Engineering: Strong Python programming skills, including
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. The candidate must be able to implement custom training loops, handle complex data pipelines, and modify model architectures. Software Engineering: Strong Python programming skills, including
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for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
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any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply Apply for this scholarship at the same
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modelling, programming (MATLAB, Python, or similar), and a solid understanding of composite material behaviour are essential, with additional interest in design optimisation, advanced manufacturing, and
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. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future of technology. As AI continues to evolve, so will the strong
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journal or equivalent discipline-appropriate output. Demonstrated aptitude for quantitative research, including a solid foundation in econometrics, mathematics, and statistics. Practical programming skills