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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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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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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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There is an increasing demand for infrastructure services while, at the same time, infrastructure networks reach capacity thresholds. Extending and upgrading infrastructure is challenging and
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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
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include: Conducting innovative research and developing proof-of-concept designs, collaborating with sensor providers and other potential collaborators; Writing multiple research articles, collectively
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networks in vitro that severe mental disorders, such as the model SNAREopathies are a diverse group of brain disorders caused by mutations in eight genes that together drive the secretion of chemical signals
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of porous electrodes, advanced imaging and characterization, and validation in electrochemical cells. Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by
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responsibilities for performing the approved experiment. This PhD position is embedded in the EU Horizon Europe Marie Sklodowska-Curie Doctoral Network (MSCA DN) SMARTTEST project. This position is linked
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strategies for SNAREopathies". We use technology to produce human neurons and create human neuronal networks in vitro that severe mental disorders, such as the model SNAREopathies are a diverse group of brain