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supply chain. The project aims to collaboratively design and validate an integrated engineering and biological modelling framework for carbon-efficient grain storage. It will combine heat and moisture
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grouting, geometrical design and as-built data). The value of the data is often not fully realized as it is fragmented across systems and formats, difficult to link in time and space and locked
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Assoc. Prof. Sulalit Bandyopadhyay. Thematics of the position is within nanoparticle design and characterization. The appointment has a duration of 3 years starting from summer/fall of 2026. Your
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, focusing on a research topic that aligns with the strategic priorities of Cabrini Health, commencing in 2026. The PhD Project The project plan will be developed by the successful candidate in collaboration
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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propulsion systems. Their integration into current aircraft designs though is limited by battery technology, thrust to weight ratio of electric motors and energy density of hydrogen. Distributed propulsion
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of Engineering. The BEE Research Group conducts cutting-edge research into low-energy buildings, building performance, retrofit and decarbonisation, indoor environmental quality, and climate-resilient design
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(e.g., Power-to-X, CCUS). The outcome will be a regional roadmap addressing existing bottlenecks and opportunities to guide energy suppliers, stakeholders, policymakers, and industry in designing
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affecting Amazon forest resilience Contribute to the design and implementation of an early warning platform for scientific and policy-relevant applications Publish results in peer-reviewed journals and
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, or supramolecular host systems. Predictive understanding of these interactions is essential for rational formulation design, but reliable theoretical models for these systems remain underdeveloped. This PhD project