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Computer Science PhD program at the Universitat de Barcelona. https://www.ub.edu/escoladoctorat/en/access-and-admission/access-pathways-and-requirements - Machine/deep learning - Excellent programming skills
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integration of the project webpage into the institutional platform Uso de machine learning para estimar propiedades geomecánicas del terreno a partir de datos de laboratorio/ Use of machine learning to estimate
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scale. Co-develop, apply and validate machine learning models from basin to regional scales. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-research-s
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ACTIVITIES IN THE RESEARCH AREA OF DEVELOPMENT OF AN ADVANCED PLATFORM FOR THE DIAGNOSIS AND TREATMENT OF NASAL OBSTRUCTION USING 3D MORPHOMETRY, FLUID MECHANICS AND MACHINE LEARNING AUTOMATIC. (C-059/25
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22 Oct 2025 Job Information Organisation/Company Universidade de Vigo Department T03 Mechanical Engineering, Machines, and Thermal and Fluid Motors Research Field Engineering » Mechanical
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collaborative and international projects Experience/knowledge in HIL systems Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Team Worker Initiative in Research and
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and Hugging Face. – Working with machine and deep learning models, including recurrent neural networks (RNNs), transformers and embedding techniques (Word2Vec, GloVe, BERT). – Designing and
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meetings at the University of Alicante. 2.6. Tasks to be carried out: Design and development of machine and deep learning models. Processing of volumetric data and images. Extraction of biomedical markers
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Requirements Educational Requirements: Test automation. Machine learning and data processing. IP protocols for satellite network communications. Professional Experience: In the E2E (end to end) verification and
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Educational Requirements: Machine learning. Neural Networks. Generalization of networks in different data domains. Training and inference in neural networks. Multimodal sensor data fusion. Visual recognition in