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- Institute for bioengineering of Catalonia, IBEC
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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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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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described in the requirements for this position. Specialised training in virtual anatomical reconstruction, medical image processing and geometric morphometrics will be valued. Courses in 3D analysis software
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/Qualifications - Programación en Python o Google colab / Programming in Python or Google colab - Procesamiento de imágenes de MRI /MRI image processing Specific Requirements - Graduado en ingeniería industrial o
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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. Detection of elements in freight wagons from images using AI techniques – Deep Learning. 2. Detection of defects from images using AI techniques – Deep Learning. 3. Validation on a Digital Twin and real
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(live and fixed), image acquisition using light microscopy, and image processing and analysis Familiar with at least one bioimage analysis tool: Fiji/ImageJ, CellProfiler, napari, ilastik, cellpose
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FieldEngineering » Communication engineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Technical Competences: Deep Learning and classic techniques for image processing. Analysis and
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow