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their Master's degrees in AI and machine learning. Join AIML's research community and contribute to shaping the future of industrial AI. This innovative program is supported by the South Australian Government
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sensors, firmware-controlled automation, wireless connectivity, and maintenance algorithms. Students will design, build, and test smart sanitation solutions that can monitor system performance, optimize
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advanced analytical techniques while contributing to the optimization of toilet system performance through rigorous scientific analysis and data interpretation. Cranfield’s world-class expertise, large-scale
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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available in the further tabs (e.g. “Application requirements”). Objective The programme supports students from the Republic of Tunisia. Who can apply? The programme is aimed at applicants with a secondary
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? Master programme at a German university and, where appropriate, in conjunction with a non-university research Institution. Duration of the funding The scholarships for master studies have a maximum
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conduct interdisciplinary research combining software engineering, artificial intelligence, IoT development, and human-computer interaction to create intelligent software systems that serve both technical
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Engineering and Computer Science (Master of Philosophy). Eligibility criteria Australian citizen Full-time enrolment Have a tertiary qualification in electrical, electronic or mechatronic engineering or
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or Phd
of toilet technologies. Students will investigate how to optimize designs for manufacturability while maintaining performance requirements, reduce production costs through process optimization, and create