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-principles and data-driven methods may also be explored. Depending on the selected application, topics such as thermal and electrical energy storage, demand-side flexibility, temporal load shifting, and
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of Electronic and Computer Engineering, University of Limerick., • Prof Colin Fitzpatrick, Department of Electronic and Computer Engineering, University of Limerick. Overview: The ECODESIGN Doctoral Network (DN
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Learning at TUM works on machine learning, artificial intelligence, and information processing, with a current focus on foundation models, data-centric research, and applications to scientific and medical
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research support tasks for the Electronics and ICT Engineering Technology Department (at most 20% of your time). Profile You have a master’s degree in Computer Science, Telecommunications, Electrical
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Duration: 3.5-year PhD scholarship, subject to Monash University scholarship conditions Remuneration: The successful applicant will receive a Research Living Allowance, at current value of $ 37,145 AUD per
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monitoring data to assess its current structural state and predict its remaining lifetime. This will enable the condition of welded structures to be monitored throughout their service life, allowing
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microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties
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, deterministic systems. You model them, you optimize them, you operate them. That paradigm is breaking down. As electricity replaces fossil fuels, industrial systems must operate under fundamentally new conditions
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deeply characterized human cohorts. The group is embedded within CBMR's highly interdisciplinary environment and collaborates extensively with leading researchers across Europe and North America. Current
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commercialisation of bioplastics faces environmental and economic challenges. Current feedstocks pose trade-offs: edible crops such as maize and sugarcane raise food security concerns, while non-edible residues