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, fabricating, and characterizing effective memristive devices, with the goal of forming device networks for realizing the physical learning paradigm developed at AMOLF. You will integrate these memristive
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, including AI, image analysis, image display, and workflow. Tasks will consist of setting up and aiding in the execution of a prospective screening trial at various screening centers of the Dutch Breast Cancer
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Vacancies PhD Position: Solar-Driven Photovoltaic and Electrochemical Conversion to C–N Key takeaways Join the SUN2CN project and develop next-generation solar-to-X devices that merge photovoltaics
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for the solar-driven conversion of CO2 and NO3? into value-added C–N compounds. Discuss one critical scientific challenge that must be addressed for such a device to work efficiently, considering all three
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protocols, ITC will focus on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you have a background in deep learning and computer vision? Are you
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Do you have a background in deep learning and computer vision? Are you independent, creative and eager to take initiatives? Do you enjoy working in an international research group and interacting
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; thereby, its response depends critically on its history. You will work on conceptualizing, fabricating, and characterizing effective memristive devices, with the goal of forming device networks
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on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and multi-data integration, such as