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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing
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in uncertain situations, a fundamental process whose disruption is a core feature of multiple psychiatric disorders. The roles will involve the use of 2-photon imaging in rodents to measure where and
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in uncertain situations, a fundamental process whose disruption is a core feature of multiple psychiatric disorders. The role will involve electrophysiology and 2-photon imaging in rodent brain slices
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The successful PhD candidate will undertake research in the following areas: Develop deep learning algorithms for autonomous robotic navigation using dual-view image fusion and shadow-based visual perception
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, Michael E. DeBakey Department of Surgery. The Postdoctoral Associate will focus on clinical data collection, data management, and imaging-based and clinical research in aortic disease. The Postdoctoral
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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: General mammalian cell culture hiPSC culture and cardiac differentiation Molecular biology (RNA extraction, RT, qPCR) IF staining and imaging (inc. image processing and quantitative analysis of features
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to base decision making in uncertain situations, a fundamental process whose disruption is a core feature of multiple psychiatric disorders. The roles will involve the use of 2-photon imaging in rodents
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to have a PhD soon, in Biological Sciences and have a strong background in neuroscience research. Experience in brain imaging is essential. The selection process will be a panel interview. For an
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environment : The PhD will be conducted at the IMAG (Institut Montpellierain Alexander Grothendieck) in Montpellier, in collaboration with CEFE (Centre d'écologie fonctionnelle et évolutive) in Montpellier and