15 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs at Universidad de Alicante in Spain
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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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for developing AI algorithms: NumPy, Pandas, Matplotlib, PyTorch. Development and implementation of machine learning and AI algorithms based on neural networks and deep learning. 3.3. Additional education (maximum
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27 Nov 2025 Job Information Organisation/Company Universidad de Alicante Department University Institute for Computer Research Research Field Communication sciences » Other Researcher Profile Other
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of Alicante's standard CV format https://s.ua.es/es/nSdB for Project-based Research and Technical Staff Recruitment, which is mandatory and is available at the following address on the University's website
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-insect interaction and biological cycles of hoverflies (Syrphidae). 3.2. Knowledge of English. Please note that you must use the University of Alicante's standard CV format https://s.ua.es/es/nSdB
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, available at the following website address: https://s.ua.es/es/nlJx , approved by the Governing Council of 22 December 2009 (BOUA of 15 January 2010), and with instructions of the University of Alicante
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degree with equivalent content. Please note that you must use the University of Alicante's standard CV format https://s.ua.es/es/nSdB for Project-based Research and Technical Staff Recruitment, which is
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: https://s.ua.es/es/nlJx , approved by the Governing Council of 22 December 2009 (BOUA of 15 January 2010), and with instructions of the University of Alicante Offices of the Registrar and the Comptroller
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for applications of research staff to cover contractual positions assigned to research projects, available at the following website address: https://s.ua.es/es/nlJx , approved by the Governing Council of 22 December