9 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"OSU" PhD research jobs in Australia
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programming background with fundamentals in machine learning and data science. Experience in building visualisations and interactive immersive environments (using game engines like Unity3D) is
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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English language requirements. https://www.flinders.edu.au/international/apply/apply-research-degree/eligibility Application information Prior to submitting applications, prospective applicants are
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already applied for admission to a relevant HDR must also apply. Instructions on how to apply for admission can be found here: https://www.flinders.edu.au/study/apply/apply-research-degree/how-to-apply
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project is to use discrete optimisation techniques (e.g. Integer Programming) to design new algorithms for MAPF. An example of previous research in this direction was published in IJCAI. Required knowledge
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learning. A publication or two in related areas will be a plus. the candidate should have strong Python/R <b>programming</b> skills. The candidate will work closely with experts in both machine learning and public health. Project funding Project based scholarship Learn more about minimum entry...
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learning. A publication or two in related areas will be a plus. the candidate should have strong Python/R <b>programming</b> skills. The candidate will work closely with experts in both machine learning and public health. Project funding Project based scholarship Learn more about minimum entry...
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, Artificial Intelligence and Machine Learning Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and unsupervised machine-learning techniques Deep
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, Artificial Intelligence and Machine Learning Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and unsupervised machine-learning techniques Deep