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At the Technical Faculty of IT and Design, Department of Electronic Systems, one or more PhD stipends/Integrated PhD stipends in representation, compression, learning, and inference for classical
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, compression, learning, and inference for classical and quantum data exchanged through classical and quantum networks. The objective of the PhD study is to explore and address research and design challenges
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developing and training large scale models (cluster-based or distributed training). Your primary focus will be on object sensitive neural compression techniques for low-bandwidth streaming and robust video
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Today's urban landscape is defined largely by steel and concrete buildings, bridges and roads, which have started to degrade at an increased rate in the last 30 years due to corrosion of steel, degradation and scour, creep and cracking of concrete. The expenses for concrete building...
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starlight. In ICE-EEVOLVE , we seek to unravel how chiral organic molecules, trapped in amorphous ice matrices, evolve from molecular clouds through star-forming regions to planetary systems. Laboratory
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(EBSD, EDX, SAXS, TEM) and ex situ/in situ nanoindentation-based techniques (micro-tensile/compression). The insights gained from this investigation will be crucial for optimizing existing Mg-RE alloys
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advanced microstructural characterization (EBSD, EDX, SAXS, TEM) and ex situ/in situ nanoindentation-based techniques (micro-tensile/compression). The insights gained from this investigation will be crucial
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resistance mechanisms, while also not affecting surrounding healthy tissues. Implantable or injectable hydrogel matrices are able to transport therapeutic vectors to the tumor site and release them upon
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, data compression, data quality, adaptive sampling, adaptive transmission, low energy consumption The PhD project has the working title Embedded signal processing for wireless underwater sensors. This is
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the project/work tasks: Keywords: Onboard processing, data compression, data quality, adaptive sampling, adaptive transmission, low energy consumption The PhD project has the working title Embedded