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Field
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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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. We are seeking a highly motivated student in computer science, environmental sciences, or a related field to contribute to cutting-edge research in machine learning applications for Earth Sciences
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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
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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de técnicas de aprendizaje automático (ML/DL) aplicado a imágenes. / Proven experience in the use of machine learning techniques (ML/DL) applied to images. Experiencia demostrable en el desarrollo de
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25 Sep 2025 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Electronic engineering Engineering » Computer engineering
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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 Rector of the Universitat Politècnica de València announcing a selection process for an indefinite employment contract within the framework of a Line of Research R&D+i line: Machine learning
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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and