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existing PyPSA-based models of the Icelandic grid, develop detailed EV charging load profiles, and propose a tailored ancillary services framework. Research Focus Iceland’s power system is transitioning from
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are nanomaterials capable of mimicking the catalytic activity of natural enzymes and can be engineered to generate reactive oxygen species (ROS) locally and in a controlled manner. The position is within the Marie
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The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our
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on modelling and controlling electrified industrial thermal systems under real-world conditions. The work is embedded in a collaborative research project with industrial partners, providing access to realistic
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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of the genetic and demographic properties of marine populations. There is flexibility, and an expectation, for candidates to develop their own line of research within this broad scope. For example, projects could
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recruitment, hiring, training, and management for all staff within the organization, regardless of gender, civil status, family status, sexual orientation, gender identity and expression, religion, age
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-Sailors) network, funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network Programme. The E-Sailors network is designed to train the next generation of Electric solar wind sail (E-sail
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scholarship is fully-funded for three and a half years (UKRI rates) and includes fees, an annual stipend, an additional London allowance and associated costs, such as training. NU London is both a UK university
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for sustainable transport planning. The purpose of this PhD project is to develop modelling approaches that improve the ability to analyse future desirable transport scenarios under deep uncertainty. A central