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(ULB, Belgium) for a research project on the integration of geothermal borefields into district heating and cooling networks. The work will combine the analysis and interpretation of extensive monitoring
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to this challenge is to leverage assets such as grid-level battery storage, and electrolyzers to have more flexibility when making trading decisions. The challenge then is how to optimally leverage such an asset
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experience in design of (analog/mixed-signal) integrated circuits. hands-on experience with methods of optimization and circuit design and layout. Candidates should be motivated, independent, show critical
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superstructures. Optimize NPL ligand shell structure in collaboration with TU Dresden to improve optical performance of NPL superstructures. Extend existing single-particle photophysical models of NPLs
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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Your Job: Your PhD project will be part of an interdisciplinary research project bridging theoretical physics and theoretical computer science. In the course of this, you will work on extending
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of regulation of BMP1 activity, at the molecular, cellular and tissue levels, with the goal to develop innovative therapeutic approaches to treat wound healing disorders. Background Previous work has shown
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Combustion Engines, ICE, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI
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intermediate host. Mathematical modeling is essential for anticipating the long-term impacts of gene drive interventions, optimizing strategies before implementation, and evaluating both their effectiveness and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 25 days ago
on this system and potentially optimized for energy saving and computational efficiency in general. This will take the form of DNN quantization and arithmetic optimization building upon previous work on this topic