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, computer science, computer engineering or related subject. We will positively consider previous background in computer vision, deep learning and/or color image processing, as well as previous experience in research
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. Familiarity with statistical modelling, machine learning and deep-learning Additional information: We offer: 🌐The opportunity to work with our state-of-the-art HPC infrastructure and to join a vibrant network
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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging
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processing image datasets for individual and behavior detection. - Defining, training, and validating Machine Learning models. - Collaborating in general research tasks. Where to apply Website https
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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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work. Availability for a ≥4 month stay abroad. Background in at least one of: AI/machine learning, computational modelling, microscopy, or cell/molecular biology. LanguagesENGLISHLevelGood Additional
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inteligencia artificial/machine learning. Tecnologías IoT y sistemas distribuidos. Conocimientos en FPGA. // Knowledge of artificial intelligence/machine learning, oT technologies and distributed systems, and
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deliverables writing, ability to work independently. Requisitos: Conocimientos de inteligencia artificial/machine learning. Diseño software, Gestión de datos, Arquitecturas backend (microservicios), Gestión de
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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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. Preliminary exposure to machine/deep learning, statistical modelling or generative AI. Application process: Interested candidates are invited to apply via the PHYNEST online platform by submitting a full CV, a