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to train an AI model that predicts the cis-regulatory code for synthetic genomes (i.e. for cell-free gene expression systems) and correlates the experimental conditions within the synthetic cell
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Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs
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antibiotic resistance is a major concern for both Mtb and NTM, and there is need for novel therapeutics. This PhD project investigates the potential of targeting host-cell metabolism to deprive intracellular
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Vacancies PhD position: Enabling Membrane-Based Industrial Effluent Reuse using Model Predictive Control Key takeaways The Netherlands is a water-scarce country. We therefore need to focus
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As urban populations grow and energy demands rise, urban-scale energy system modelling is critical for reducing emissions, enhancing resilience, and integrating high shares of renewable energy
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throughout the horse breeding season (March–August). Your research will bridge basic biology and translational embryology. Using live imaging and single-cell sequencing approaches, you will investigate how
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and cultural activities external link . We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest
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model of human working memory. During the project, we will follow an intertwined model-experimental approach. First, we will use electroencephalography (EEG) experiments to investigate the neural basis
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are seeking a highly motivated PhD candidate to develop efficient on-device generative AI systems based on large language models (LLMs). The project focuses on creating compact, low-latency, and energy
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Ceramic Membrane Reactors (PCMRs). Ammonia is not only a key-chemical for sustaining global population, but also an intriguing carbon-free energy carrier. Ammonia, however, is the most energy intensive