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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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nanomedicines. In this project specifically, we aim to better understand the interactions between nanomedicines and the cell (membrane). Building upon previous work in the host group, the PhD candidate will use
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Policy, Energy Transition and Industrial Decarbonisation. Project description Climate change mitigation calls for steep cuts in greenhouse gas emissions. To realize these reductions, industry and the
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Vacancies PhD Position PRE-MADONA: Generative Design of Mass Energy Renovation Projects Key takeaways The Netherlands faces the enormous challenge of renovating 1.5 million buildings and
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PhD in Bioprinting of Vascularised Stem Cell-Derived Pancreatic Islets Faculty: Faculty of Veterinary Medicine Department: Department Clinical Sciences Hours per week: 36 to 40 Application
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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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Organisation Job description Decarbonizing heat is critical—the thermal sector accounts for approximately 50% of the EU’s final energy use. Electrification through heat pumps and EVs is already
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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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laboratories and Institute are well equipped in methods for nanomedicine preparation and characterization, cell culture and methods in molecular and cell biology to characterize, and quantify nanomedicine
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dynamical systems, with applications ranging from plasma physics and molecular dynamics to advanced simulations for sustainable energy research. We are looking for a motivated and ambitious PhD candidate