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biology approaches to identify transcriptional networks and signalling pathways controlling cardiovascular development. Using novel datasets generated from mouse models of congenital heart defects, the
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Host institution: Erasmus University Medical Centre Rotterdam (EMC-a), Department of Molecular Genetics , Rotterdam, Netherlands Supervisor:Dr. Miao-Ping Chien Co-supervisors: Prof. Thierry Voet, Katholieke Universiteit Leuven, Department of Human Genetics, Belgium (Academic); Dr. Domenico...
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Polymer manufacturing is highly energy intensive, and achieving net zero requires more than fuel switching. This project focuses on process systems engineering for industrial decarbonisation
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-generation power electronics in the form of Solid-State Transformers which will provide key functionality in the electricity networks of the future which will feed, for example, high power charging systems and
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of the PRCI project entitled LUCAS (Leverage External Data for Enhanced Understanding and Causal Attribution of Anomalies in Water Network Systems). The research activities will be carried out at the Centre de
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unique opportunity to gain expertise that is highly sought after across pharmaceutical and advanced manufacturing industries. This project is part of the EPSRC CDT in Process Industries: Net Zero . The
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basis therefore we encourage early expression of interest. Net2 Zero Centre for Doctoral Training The EPSRC and BBSRC Centre for Doctoral Training in Negative Emission Technologies for Net Zero (CDT in
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Location: Central Cambridge We are seeking applications for a PhD position in AI in proteomics as part of the Horizon Europe MSCA Doctoral Network, ProtAIomics. This brings together laboratories
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networks of nodes and parameters. This practice-based PhD investigates how AI can assist at the level of tool production by drafting procedural networks that the experienced technical artist can inspect
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noisy, partially mediated observations. These models will incorporate biologically informed structure, including protein-protein interaction networks derived from data-driven sources such as protein