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básicos de Machine Learning. // Basic knowledge of Machine Learning. • Habilidades en Ingeniería de Redes y Computación en la Nube-Edge. // Knowledge of Network Ingenieering and Cloud – Edge computing
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specifically, they will work on the development of machine learning methods for the optimization of wireless communication systems assisted by reconfigurable intelligent surfaces (RIS). Where to apply Website
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or equivalent Skills/Qualifications A Bachelor's Degree or an equivalent in Computer Science, Telecommunication Engineering, or a related field with a strong academic background in Machine learning, Natural
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expertise in data science, machine/deep learning, biomedical informatics, biomedical ethics, and health-related applications. The research team has an established track record in coordination and
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combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC
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(TensorFlow, PyTorch, scikit-learn, Pandas). Knowledge of machine and deep learning methods and techniques, including training, adjustment and development of language models and LLMs. Generative AI techniques
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resources. Integration of regularly updated databases, public and private variant prioritization tools using machine-learning methods, bioinformatics predictors of intronic/UTR variant damage, gene panels
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learning and the impact of technology in any discipline or activity. You will work in a dynamic and flexible environment where you can develop professionally by working towards objectives. Responsibilities
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remuneration, or a proportional part for periods of less than one year. 2.5. Tasks to be carried out: · Developing advanced tools for the spectral analysis of the X-IFU instrument. · Developing machine learning
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At least 1 year of experience in customer or user support (helpdesk, IT support, or similar) Good computer skills and willingness to learn technical tools (basic SQL, Linux command line, databases