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operational planning processes for complex marine systems. You will be part of a world leading, vibrant research community in marine technology, together with more than 60 PhD students from all over the world
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for complex marine systems. You will be part of a world leading, vibrant research community in marine technology, together with more than 60 PhD students from all over the world. You will explore how emerging
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-rock composition throughout the Fen complex using SEM-based automated mineralogy and electron microprobe analysis. Trace element composition of minerals, including apatite, carbonates and oxides
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techniques for studying dough and bread characteristics (e.g., rheology and texture analysis) Heat and mass transfer Mixing technology Statistical analysis Personal qualities: Inquisitive and driven
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, as well as the perspectives of healthcare providers, public service workers, and civil society organisations that support them. The project will also include mapping and analysis of relevant national
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interpretable framework for tensor analysis. Specifically, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for
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related algebraic and analytic structures for the analysis and modelling of complex sequential data. Path signatures, originating in stochastic integration and rough path theory, provide expressive
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selection criteria Knowledge of quantum communication / quantum information fundamentals (e.g., entanglement, fidelity/noise, quantum repeaters) Experience with network modelling, performance analysis
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., entanglement, fidelity/noise, quantum repeaters) Experience with network modelling, performance analysis, or simulation-based evaluation Background in optimization, resource allocation, scheduling, or graph
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, vulnerability, and cybersecurity, integrating resilience as an explicit aspect of security of electricity supply; tools to increase situational awareness. Methods for risk analysis of the complex