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Field
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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visual dimensions in the context 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
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for high-dimensional datasets, including spatial bulk and single-cell RNA sequencing, mass and flow cytometry, and imaging data derived from both patient samples and experimental models. The overarching aim
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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will join the Molecular Imaging and Radiobiology team
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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data
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available1Company/InstituteGroupe de recherche en Informatique, Image, Automatique et Instrumentation de CaenCountryFranceCityCAEN Contact City CAEN Website http://www.greyc.fr STATUS: EXPIRED X (formerly Twitter
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+ thermal wound images, intraoperative video, OR traffic signals, EHR data, and patient/surgeon surveys with explainability and equity at its core. Among the key duties of this position are the following
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available Group or Departmental Website: https://med.stanford.edu/wendy-liu-lab (link is external) https://profiles.stanford.edu/wendy-liu (link is external) How to Submit Application Materials: Please send
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use of magnetometric methods and static and dynamic domain imaging techniques. The qualification position has a teaching obligation of 4 weekly lecture hours, for example by lecturing, exercises