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Field
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to distributed energy resources, enabling energy sharing, reducing grid congestion, and enhancing sustainability. The PhD project will focus on the governance models adopted for energy hub platforms. These include
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learning models keep getting better, but how they make their decisions often remains unclear, because these depend on many incomprehensible model parameters that have been learned from data. For instance
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maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
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a given discrete-event model that is safe with respect to certain requirements. Yet, the application of the approach is limited by the fact that tools for synthesis cannot always deal with the state
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dialogue modelling), the series of experiments will result in four journal papers, to be integrated into a dissertation. You will participate in relevant conferences, workshops and seminars, and communicate
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mapping, with molecular approaches using human and animal disease models. Where to apply Website https://www.academictransfer.com/en/jobs/355039/phd-in-cardiac-electrophysiolog… Requirements Specific
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focus We welcome candidates with a strong interest in developmental biology, organoid technology, and disease modelling. This position is part of the EU-funded Marie Curie doctoral network (VISI-ON-BRAIN
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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Join the Laan Lab at TU Delft to unravel the mesoscale physics of how cells maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often
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: Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as well as electrical flow. Prototyping