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Field
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handling, specialised equipment and highly skilled operation. To demonstrate the platform’s versatility, we will develop prototype devices across three key applications: Early detection of Alzheimer’s
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of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque electrophysiology data obtained through
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 23 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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al. (2014), EMBO J), the laboratory has more recently employed state-of-the-art genome editing, tailored cellular models and advanced proteomics and imaging to further define the substrate spectrum
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 28 days ago
Job Code: Tü_110 Job Offer from March 06, 2026 The Optics and Sensing Laboratory at the Max Planck Institute for Intelligent Systems in Tübingen has an open position for a Researcher to join the
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a home-build photoacoustic spectrometer (Lucas et al., 2022). To characterize the nanoscale temperature distribution, we propose to combine the pulsed excitation of photoacoustic imaging with a
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
. Project summary and work plan The work plan associated with this position is focused on developing complex organ-on-a-chip systems, compatible with functional imaging techniques and integrating sensing
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on fatigue management, maintaining daily activities, the role of leisure, and body image. Logbook system: Participants will be asked to document their experiences with changes (dietary and physical) over
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations