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been shown to accelerate and improve the training procedure of SNNs by defining new cost functions that are differentiable and easier to optimize. They can also handle quantized weights, e.g., using
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national and international partners Maintain, calibrate and troubleshoot high-end mass spectrometers with a focus on GC-HRMS and Orbitrap analysers Develop, optimize, and validate analytical GC-MS and LC-MS
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management and the establishment of chronic inflammation. Supervision and training of team members including PhD and Master students in (phospho)proteomics, lipidomics and cell culture techniques. Support of
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Associate, you will develop AI-enhanced Digital Twins for solar energy systems, enabling real-time monitoring, predictive maintenance, and performance optimization. You will design modular architectures
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in at least two projects related to scale up and optimization of biomass valorization processes from wood and agriculture feedstocks for textiles and packaging applications. The portfolio of projects
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focused on food chemistry and the monitorization of oxidative processes and other relevant chemical reactions in food. Supervising and training PhD, master, and bachelor students in analyzing the impact of
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applications and optimization of bioelectronic devices for selective and controlled therapeutic release. You should hold a relevant PhD (or be near completion) in fields such as biomedical, electrical
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founding a clinical feasibility study at the Royal London Hospital. Background The post holder should hold relevant PhD in Signal Processing, Software Engineering, Electronics Engineering, Biomedical
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, the centre will initially focus on some of the following thematic areas: • Decision analysis under model misspecification • Uncertainty quantification around LLMs • Constrained optimal
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of novel strategies for neuronal analysis in health and disease and optimizing novel methods. The project is funded by My Name’5 Doddie Foundation, as part of their Catalyst Awards. Using iPSC-neurons, our