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Field
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Recruitment Objective Lead and support the CAMPS project for advanced spatial data production and analysis, with a focus on satellite imagery remote sensing, machine learning-based urban and architectural
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algorithm. Basic principles of mathematical optimization. Fundamentals of machine learning and deep learning. It will be assessed: Have completed or are currently completing a degree in Data Science and
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demonstrate, or undertake to acquire, within a period not exceeding one year, a correct knowledge of two official languages in Catalonia • Intermediate level of English • Intermediate level of office tools
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health and risk of disease” and “Artificial vision and machine learning techniques for analysing temporal shape changes”. 1.2. Units in charge of the lines of research (in the order in which the respective
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to apply Website https://cv.newton-6g.eu/ Requirements Research FieldEngineering » Computer engineeringEducation LevelMaster Degree or equivalent Research FieldEngineering » Electrical engineeringEducation
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based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation
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Autónoma de Madrid, and funded by the Community of Madrid. Among the tasks to perform are: Management and preprocessing of audio databases. Design, implementation, and testing of deep learning algorithms
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innovative research in three major categories: AI Fundamentals: machine learning, deep learning, data science; AI Core Applications: computer vision, natural language processing, speech processing, robot
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to learn (or constantly hear) about machine learning methods for protein engineering and design Education and training You hold or are about to defend a PhD in Molecular Biology, Biotechnology, or a related
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specialised libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Knowledge of machine and deep learning methods and techniques, including training, adjustment and development of language models and LLMs