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The power and energy systems community is increasingly interested in emerging computing technologies, including quantum computing, to address challenges in power system optimization, particularly in
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optimization, particularly in the context of the Energy Transition. Transitioning to a power system heavily reliant on weather-dependent renewable energy to achieve environmental targets introduces a critical
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. The focus involves expertise in energy modeling, optimization and analyzing diverse energy mixes, primarily emphasizing hydrogen-based systems. As we move toward cleaner energy systems, the way we plan and
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/optimization is an advantage. Track record of scientific publications in relevant fields (thermal systems, solar energy, PV/T, energy in buildings). Ability to work independently and in a team, with strong
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, or similar) and data analysis. Familiarity with heat pump systems, building energy simulations, or control/optimization is an advantage. Track record of scientific publications in relevant fields (thermal
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batteries (solid-state) via a physics-informed data-driven approach. Accurate prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety
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/). Researchers at GRIP aim to understand the molecular basis of disease, develop innovative therapeutic strategies, and optimize drug delivery to improve human health. Our teams combine expertise in nanomedicine
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that predispose to liver cancer, with the overarching goal of understanding disease mechanisms and developing innovative therapeutic strategies. As part of our team, you will leverage state-of-the-art single-cell
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of understanding disease mechanisms and developing innovative therapeutic strategies. As part of our team, you will leverage state-of-the-art single-cell, spatial, and organoid technologies in a collaborative and
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profitability. Examples include optimizing production speeds to balance output, equipment deterioration, and energy consumption in manufacturing, or designing dynamic pricing and allocation policies in rental