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principles that govern product distribution and catalytic performance. Close collaboration with theory will be central to guiding and rationalizing the experiments, while synchrotron-based techniques will
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and publications in scientific journals. The PhD student's participation in events organised by international networks such as GeoMIP will be encouraged by the supervisors. Any other opportunities
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Networks for MLFFs Implement and test uncertainty-aware loss functions Study calibration and post-calibration for predictive uncertainty Integrate uncertainty modules into MLFF architectures Detecting
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have. Additional comments Supervisors team The Computational Synthetic Biology group (CSBG), led by Dr. Irene Otero-Muras, works on the design, analysis and control of biomolecular networks: nonlinear
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Federated Cloud Computing ( HCC ) We invite applications for a fully-funded 3-year PhD position on the topic of usable decentralization, i.e. on making distributed and federated cloud services accessible
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systems can be self-powered. By optimising energy efficiency, waste from disposable batteries and the need for cabling can be reduced, which supports the global Net Zero goals in decarbonisation with
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for Enhancing Decision-Making in Networks of Autonomous Agents”, which aims to develop a new methodological framework to improve decision-making in autonomous systems. The project combines high-frequency radio
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-Muras, works on the design, analysis and control of biomolecular networks: nonlinear, complex systems – sometimes subject to significant molecular noise- with relevance in cell regulation, signaling and
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well as infection-trials in rainbow trout and possibly other fish species. Through our broad network of international collaborators, you will have ample opportunity for long and short research stays at scientific
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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried