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initiatives at SWIMS. The ideal candidate will have expertise in IoT, sensor development, ecological monitoring, and advanced ecosystem imaging methods such as photogrammetry. The officer will collaborate
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will be employed for a period of 6 months and will be required to fulfil the research obligations of a project entitled Development of Hydrogen Hybrid Energy Storage System H2SS Reactor and Advanced
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. Therefore, you will be contributing to the development and refinement of a potential medical device that could become adopted into clinical practice, not just in the UK but globally. You will run the project
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applications of data science and artificial intelligence. In addition, service-oriented solutions are developed and there is close cooperation with a large number of partner organizations from science and
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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and innovation catalyst, in this exciting project, you will develop novel algorithms to monitor and analyse workers' movements, detect harmful movement patterns, and implement simple intervention
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study and other ongoing translational initiatives to develop a voice-based digital health solution to alleviate the diabetes burden. Project objective The PhD candidate will work at the interface
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of the ANS is prominent. Importantly, while PD patients develop motor dysfunction at the later stages of the disease, autonomic dysfunctions (dysautonomia) can precede these motor symptoms, suggesting it as a
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/decision-making includes supporting the development of legislation (Acts), regulations or policies that affect the practice(s) of natural resource management in Canada. Further Information The College
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more sustainable? If you share our passion for technology and the difference it can make in meeting the UN’s Sustainable Development Goals, perhaps you are one of our two new PhD students. At DTU Electro