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microscopía relacionada con enfermedades globales y manejo de QuPath, ImageJ, R, Python, Pytorch, Tensorflow. Specific Requirements Microscopiy Image processing background Knowledge in métodos estadísticos
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Barcelona is seeking a highly motivated Computer Engineer to join our team and contribute to the development of a cutting-edge federated analysis infrastructure for the European repository of cancer imaging
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Recruitment Policy The role The postholder will be working with the team at the Advanced Light Microscopy Unit (ALMU) to train, manage and support the imaging needs of ALMU’s research community. The postholder
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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the development of custom algorithms for image or data processing, workflow automation and the interpretation of large volumes of information from optical, thermal or flow measurement systems. Participation in
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skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow, as well as familiarity with medical image analysis and computer vision. Experience in federated learning, AI
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functions in next-generation cellular architectures and integration of the resulting data according to the data space paradigm. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/27660208
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, X-ray optics, UHV technology, and electron-ion coincidence imaging techniques. We are currently looking for a Staff Scientist in Attosecond soft X-ray Science Key Responsibilities: Support and
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or equivalent Specific Requirements Item 01: Academic diplomas (degree and master), related to data & image processing (punctuation: 25) Item 02: Enrolled in a PhD program related to Applied Geotechnologies
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of inorganic or colloidal synthesis methods. Familiarity with microscopy image processing or quantitative analysis tools (e.g., ImageJ, Python-based analysis) will be valued. Motivation to work at the