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of the relevant faculty or University of Auckland committee. For more information about the awarding process for this scholarship, award or prize, download a copy of the regulations. Help and support You can find
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, listing any potential publications, and names and contact details of two references Copy of diploma, as well as other relevant certificates such as English proficiency certificate if applicable To qualify
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. If awarded the contract, they must enroll for the current year in the UPV's doctoral programme for which they have been accepted (if they are not yet enrolled) and submit a copy of the proof of enrolment
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-language models, or diffusion models to simulate and design complex urban traffic environments? Do you want to shape the next generation of data-driven mobility intelligence with your creative ideas and
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supervisor, and copy the link to this scholarship website into question 2 of the financial details section. About the scholarship This PhD project will develop innovative methods and tools for impact
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operational challenges. You will model and conduct dynamic system simulations of full cooling systems (e.g. in Dymola) You will conduct experimental investigations focusing on the integration of active cooling
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
thermo-hydraulic-(mechanical) models and perform system-level simulations to analyse heat and moisture transport within the of the SMTES system and assess its performance under different boundary
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without reliance on vision. The work will combine auditory perception models, predictive processing and flight control, validated through simulation and experimental flight tests on an embedded GPU platform
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to design, conduct, and analyse controlled experiments, both in simulation and with real sensor data. Experience with FPGA design for signal processing applications is an asset. What we offer We offer a
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal