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machine learning model for domain adaptation in brain image analysis and reconstruction. Development of a platform for the collection, harmonization, and processing of hospital data. Definition
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of research staff (contract type: open-ended contract; job category: assistant researcher) to collaborate with the funded line of research “Machine learning methods and models for acoustic and sound signals
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of AI and machine learning techniques, including handwritten text recognition and probabilistic indexing, to improve access to historical sources. Ensuring the archive is sustainable, accessible, and
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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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the job profile (sections 2 and 3 of this annex), as well as to: Programming in Python Use of machine learning libraries: TensorFlow, PyTorch and scikit-learn Development of supervised and unsupervised
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sequences, networks, trajectories, images, etc. - Design, programming, optimization, and parallelization of machine learning algorithms. - Search in repositories and bioinformatics of DNA sequences
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positivamentela experiencia/conocimiento en algunas de las siguientes áreas: lenguajes de programación (Python, JavaScript), técnicas y herramientas software de análisis de datos, machine/deep learning (Pandas
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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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invites applications for tenure-track (Assistant Professor) faculty positions. We are primarily interested in recruiting excellent candidates in the areas of: Machine Learning, including Formal Reasoning
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of research staff (contract type: open-ended contract; job category: senior technologist) to collaborate with the funded line of research “Machine learning methods and models for acoustic and sound signals