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Field
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first line treatments for OSA, and works by delivering pressurized air to keep the airway open. Traditionally, titration of optimal PAP parameters was done in sleep labs, but home titration using auto
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of Internet infrastructure by developing autonomous systems that can self-organize, self-optimize, and self-heal across heterogeneous environments. You will tackle fundamental challenges at the intersection
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develop and optimize these methods, with as special aim to enrich for antigen-specific antibodies. A secondary key objective is to improve bioinformatic and AI tools to analyse the mass spectrometry data
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), live-cell imaging, and transcriptomic analyses. Laboratory work will involve optimizing protocols to convert patient-derived skin cells into neurons (iNeurons). New AONs will be screened through reporter
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industrial contexts; investigate optimal levels within the product structure for deploying AM in repair and spare parts support; integrate forward and reverse flows in manufacturing and maintenance
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-Zehnder modulators). Through applying a strong foundation in physics and engineering, you will design devices taking into account electrical, RF, thermal, and optical considerations. Key optimization
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by animal models that optimize for single causes or treatments, without reflecting the diversity and complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project
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to this challenge is to leverage assets such as grid-level battery storage, and electrolyzers to have more flexibility when making trading decisions. The challenge then is how to optimally leverage such an asset
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. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant patient outcomes. You will use a real-world case study on
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and optimization.