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Field
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% of total energy consumption, and 70% of heating is still met by Fossil Fuels . Heat pumps are a key enabling technology for decarbonization, but conventional vapor-compression systems face significant
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-power 1-micron lasers. FELLOW 3 (ITO, Stuttgart, Germany): Fabrication and characterization of pulse compression gratings using SBIL. FELLOW 4 (ORC, Southampton, England): Fabricating dielectric all
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the Portable Document Format (.pdf). The files must be designated with the name and surname of the candidate and must not exceed 5 MB combined. These files can be compressed into .zip format. 16.7
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compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change, within a GPU-accelerated solver to reduce simulation turnaround times. You will develop and
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compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change, within a GPU-accelerated solver to reduce simulation turnaround times. You will develop and
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on large annotated datasets. Memory-efficient deep learning: Model compression, pruning, quantisation, selective memory replay, and efficient training strategies. Energy-efficient deep learning: Methods
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design of soft scaffolds and synthesis using extrusion-based bioprinting. Experimental characterization and constitutive modeling. Compression experiments on 3D-printed scaffolds under different conditions
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energy consumption, and 70% of heating is still met by fossil fuels[[1]](#ftn1). Heat pumps are a key enabling technology for decarbonization, but conventional vapor-compression systems face significant
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on Data Representation and Compression, which focuses on developing efficient methods for representing, processing, and reliably transmitting both classical and quantum data under strict timing constraints
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. Investigate and implement optimum sampling strategies, including sparse and compressed sampling techniques. Explore the applicability of neural networks in clinical workflows, ensuring solutions are practical