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systems, signal and image processing as well as experience in measuring acoustic pressures in cavitating liquids and high-speed filming is highly-desirable. This is a team project so the successful
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, your tasks will include: •Designing, executing, and analyzing model-based workflows to study the molecular response of cartilage under mechanical load. •Integrating advanced imaging techniques, including
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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control of image illumination/acquisition and stage movement systems. Processing and analysis of data from the above. Interacting with commercial collaborator for the translation of concepts to applied
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. Your mission Understanding disease requires weaving together many layers of biological and clinical information. By fusing multimodal data including genomics, imaging, spatial omics, and patient records
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since 2009, currently contributing to the analysis and operation of XENONnT. The XENON group at SUBATECH includes 5 permanent researchers (2 from CNRS, 2 from IMT Atlantique, 1 from the University
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experimentation is required. Mastery of techniques associated with imaging intracellular Ca2+ oscillations and phenotypic evaluation of organelles will be considered a plus. Experience gained in different
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processing and image reconstruction. Orange County is world-renowned for its natural beauty, perfect year round climate, gorgeous locales on the Pacific Ocean and incomparable recreational opportunities. Great
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in vitro models along with advanced 3D and 4D imaging technologies, we aim to illuminate key molecular and cellular mechanisms underlying human neural development and the pathogenesis of neurological