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structures and learning objectives that disentangle sound representations according to well-understood signal characteristics reflecting the underlying sound generation process. By making this understanding
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instruments (bills of exchange, promissory notes) in the dynamic interactions between financial actors and institutions in three major financial centres (London, Amsterdam and Hamburg). The sources used will
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scan speed. In parallel, the fabrication of composition-graded structures requires combined control of laser power, scan speed and powder feed ratios, continuously responding to the changing process
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of their chiral properties, structure and optical properties; both in solution phase and on solid supports; (iii) catalytic and biomedical applications followed by the prototyping of the most promising
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are looking for a highly motivated and skilled PhD researcher to work on structural surrogates of offshore wind foundations through graph-based machine learning. Our goal is to perform full-structure
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for carrying out research in predefined areas and disseminating results through high ranked scientific publications. They will also communicate and interact regularly with partner teams or industry partner
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and analysis. Advanced Analytics: Implement analysis modules for methylation calling, structural variant detection, fragmentation-based signatures and multi-omics integration. Machine Learning
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traders. The project studies the organisational characteristics of the bondholders' committee and the structure of negotiations and meetings, in comparison to corporate insolvency. This research offers
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analysis Thermal integrity in 2.5D packaging Advanced design technology co-optimization Parasitic extraction for large cells Area-selective deposition for nanoscale structures ...and more! By bridging
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Directed Energy Deposition (DED) process for metallic components. The PhD candidate will focus on edge computing and the application of AI for data analysis and for identifying correlations with ground truth