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to optimization problems with possible topics covering: Variational quantum algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical
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Applications, written in English, should include: A detailed CV A list of publications (if any) A motivation letter Previous degrees List of courses with corresponding grades Contact details of 2 persons who agreed to give references Early application is highly encouraged, as the applications...
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The SnT Automation & Robotics Research Group is hiring a motivated PhD candidate for the bi-national project DOMINANTS (Dexterity-Oriented Methodology in Optimized Design and Control of Soft Aerial
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the flexibility to change the transmit waveform and signal processing units on the fly. Personnel at SPARC have contributed to several seminal papers, book chapters, and books in the fields of waveform optimization
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-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy
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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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labeling strategies be further developed and optimized for live-cell imaging, super-resolution microscopy, and cell-specific proteomics? How do neurons, glial cells, and immune cells communicate, and how can
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management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we
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will employ a data-driven approach and state-of-art methodologies to support decision-making for an optimal and smooth integration of the e-mobility sector, with specific focus on cost-effectiveness
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). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system