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uses an interdisciplinary approach that integrates quantitative microscopy, live-cell imaging, molecular and cellular biology, computational analysis, and cancer model systems to investigate how
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at rescuing circuit dysfunction and evaluating outcomes using state-of-the-art behavioral characterization. We are seeking an expert in neural circuit analysis with experience in: In vivo two-photon imaging
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computational tools for automated imaging analysis of neurodevelopmental disorders. Genetic testing has transformed our understanding of neurodevelopmental epilepsy. Identification of common genetic mutations in
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develop automated pipelines for segmenting and analysing X-ray computed tomography (XCT) images of titanium layers. This includes deep learning-based image analysis and the extraction of quantitative
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exclusively on the spatial analysis of images, making them sensitive to optical aberrations, difficult to implement in depth, and inherently limited in the type of information they can extract. Our group
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in-house on the relevant methods and past experience is not required, beyond a basic undergraduate science education. There is a considerable amount of imaging data in the lab which requires manual
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leader in the research project - “Towards adaptative pretrained vision-language foundation models for medical image analysis”. They will be required to: (a) conduct research on individual/collaborative
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Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM) | Spain | 13 days ago
in medical image processing, including segmentation, registration, and quantitative analysis of images (CT, MRI, or echocardiography), as well as the use of common scientific libraries (NumPy, SciPy
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studies of polyploid giant cancer cells (PGCCs), cancer cell migration, and therapeutic resistance. We leverage high-throughput microfluidic systems, robotic liquid handling, advanced imaging, and
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). SLIM provides sample preparation and histology services, advanced light microscopy, image analysis, and technical expertise to researchers and students across the University of Nottingham, as