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responsibilities High quality research in the field of high precision environment perception using multi-modal sensors Regular publication of results in high-impact and peer-reviewed journals and conferences
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installed to record relevant environmental data like temperature, humidity, airflow, etc., in the rooms and to send them in real time to a central server platform. A particular focus is set to the development
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lot of interests and investments these days. Active perception of a surrounding environment through AI relies heavily on the design of architectures and their extensive training to generate compact
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4th August 2024 Languages English English English We are looking for PhD Candidate in environmental analysis of a circular built environment Apply for this job See advertisement This is NTNU NTNU is
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the exploration of viable opportunities for the application of immersive learning environments to address key performance questions in sport. The successful candidate will work with a range of existing and new high
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to applications and applied research. Project description The environmental effect of flight on climate change has become a major driving force for the development of electric aircraft, where the focus currently is
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sensing in smart environments". The PhD position involves developing algorithms to detect and track objects using Doppler shift and Angle of Arrival (AoA) analysis of Channel State Information (CSI
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environments Apply for this job See advertisement This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three
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Project contact: Professor Peter Kelly Funding info: Home fees (2024/25) included plus an annual stipend of the research council minimum rate (set by UKRI) of £19,237 for 2024/25. Eligibility: Open to home and overseas students. Only home fees will be covered. Eligible overseas students will...
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system modelling framework (utilising SysML) that effectively represents human-machine teaming in uncertain environments. This research will employ a systematic approach to refine the representation