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The Center for Machine Learning Research (CMLR) is a newly founded interdisciplinary research center at Peking University. Its goal is to advance machine learning-related research across a wide
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development of prompt engineering, machine learning, and NLP techniques to process data and build this model, adding feedback based on the results. The selected candidate must live in Madrid during the period
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» Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application Deadline 19 Sep 2025 - 23:59 (Europe/Madrid) Type of Contract Temporary Job Status Full
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Requirements Experience in the development of software solutions that allow the anonymization or pseudonymization of named entities and sensitive data. Machine learning/deep learning training. Good level of
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Computer engineering, Data Science, Mathematics or equivalent, with focus on energy modelling and electricity markets. Proven experience (>2 years) in energy systems modelling, machine learning or artificial
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of relational and non-relational databases Knowledge of cloud-based architectures. Knowledge of Artificial Intelligence and Machine Learning. Ability to analyze the environment and take initiative to generate
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: Good level in spoken and written English (C1 level). Good computer skills (Word, Excel, Access, SPSS or similar, webpage, webmail). Experience and knowledge: Required: Experience in the diagnosis and
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the application). OTHER REQUIREMENTS Training as a Biologist specializing in Immunology (Proof must be provided with the application). University training in Machine Learning (Proof must be provided with
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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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that combines remote working with work on-site, according to organizational needs and the nature of the tasks involved. About the UOC A leader in e-learning, our pioneering university is a digital native with