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. For this task, there is no doubt that the best way to obtain viable results is by means of artificial intelligence techniques based on deep learning. By obtaining an artificial intelligence model based
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: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto Script, Machine and Deep learning and computer vision. To have experience
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of artificial intelligence (AI) and biomedical engineering. Research directions include deep learning, natural language processing, brain–computer interfaces, and their applications in disease prediction, drug
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HRS2025/180 Investigador en procesado de imagenes médicas / Researcher on medical imaging processing
radiologic, histopathologic and clinical data biomedical image processing using deep learning techniques. Where to apply E-mail mj.ledesma@upm.es Requirements Research FieldEngineering » Biomedical
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interest, harness deep learning to interpret these data Design experiments using these technologies, and collaborate with an experienced technician to implement these experiments Interact closely with both
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cameras. Responsibilities include optimizing deep learning models for edge computing (Nvidia Jetson Nano, Raspberry Pi, etc.), designing autonomous flight paths, implementing real-time video processing, and
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: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto Script, Machine and Deep learning and computer vision. To have experience
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system, and contribute to the advancement of medical education and scientific exchange. Your expertise will drive data generation initiatives, ensure a deep understanding of disease areas and Biogen’s
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Requirements: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto_Script, Machine and Deep learning and computer vision. To have
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environments Demostrable experience in the following fields: explainable machine learning, deep generative models, survival analysis, federated learning. LanguagesSPANISHLevelExcellent