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Technical Competences: Programming fundamentals: Python, Java, C, C++. Basic principles in techniques in Machine Learning frameworks: TensorFlow, PyTorch. Basic fundamentals in software engineering tools: MS
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, such as massive language model building, biomedical text mining, machine translation and unsupervised learning for under-resourced languages and domains. It has been entrusted by the Spanish and the Catalan
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processing of "Whole Slide Images". Other requirements to consider: Teamwork. Analyze complex problems and find innovative solutions. Specific Requirements Educational Requirements: Machine learning. Deep
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: Neural networks and machine learning. Algorithm. Professional Experience: In the use of Python (PyTorch, TensorFlow) and C for the development and optimization of deep learning algorithms. Experience in
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metrics. - Uso de técnicas de aprendizaje máquina/profundo y técnicas de segmentación aplicado al procesamiento de imágenes y vídeo / - Use segmentation and machine/deep learning techniques applied to image
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of the tasks involved. About the UOC A leader in e-learning, our pioneering university is a digital native with global reach and a mandate for public service. We've been providing accredited, high-quality online
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campos de interés. Basic qualifications: Master's degree in Electrical/Electronic/Computer/Telecommunications Engineering, Computer Science, Physics, or a related field. Outstanding undergraduate students
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Engineering). - Theoretical foundations of 6G RAN and autonomous systems o Proven knowledge of AI-native RAN systems. Indicative skills/experience: - Deep understanding of 5G/6G RAN architecture (O-RAN, NG-RAN
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Knowledge -Mathematical models. -Quantum algorithms. -Machine Learning. Professional Experience -In high-level international research. -Direction of international research projects. -In mentoring
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and aerial data. Analysis of large wildlife databases: neural networks. Computing clusters with CPU/GPU. Specific Requirements Educational Requirememts: Machine learning. Signal processing. Signal