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the world. Ideal applicants will have a solid background in AI, machine learning, control theory or quantitative finance. Applicants with advanced programming skills (Python/C++); and a desire to publish in
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publication Strong programming skills and familiarity with machine learning or finite element modelling Not currently receiving another scholarship of equal or higher value Application process Future student
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Status: Open Applications open: 4/04/2022 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information In many safety-critical workplaces
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organisational informatics. Research strengths include intelligent systems, data analytics, cybersecurity, digital health, sustainability and human–computer interaction. The Faculty of IT at Monash University
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scientific expertise include safety in all modes of transport, in the workplace, in the community and in the home. MUARC’s goal is simple but profound: to prevent injury, save lives, and build futures
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: Associate Professor Ankush Sharma (IITK) Smart grid is an interconnected cyber–physical system with advanced technologies of fast communication and intelligence, which however is prone to numerous
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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interaction and human motion analysis Prior knowledge of machine learning/deep learning applied to motion analysis (e.g., relevant courses and research experience) would be an advantage IELTS score of 6.5
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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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, cultural history, social history, military history, the history of religion, health, politics, anthropology or trade, or other associated fields. The Flinders based supervision team have expertise in German