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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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, Telecommunications, Artificial Intelligence or Computer Engineering; Mathematics; or a related field. Training or experience in data science, deep learning, and artificial intelligence. Knowledge of Python, PyTorch
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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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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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-off companies. PROJECT SUPERVISOR & HOSTING GROUP Dr. Fernando Vilariño will be the supervisor of this position. He is the leader of the Quantum Machine Learning team (QML-CVC) at CVC. The Computer
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: Algorithm. Software architecture. Machine learning. Professional Experience: In programming and/or research, image processing, machine learning. In topics of machine learning applied to wireless
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and modelling of omics, clinical and imaging data, development of reproducible pipelines, application of machine learning techniques, integration of multi-modal data, scientific publication and
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in resulting companies, etc. The work will comprise machine learning research for analysing large-scale clinical data, including time-series physiological data, blood test data, medications
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for information regarding job functions and conditions: Functions and conditions for teaching collaboration at UOC Requirements: Doctoral degree in Computer-Assisted Language Learning, Second Language Acquisition
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engineering or similar. Knowledge and experience with deep learning models applied in computer vision. Remarkable academic trajectory, validated by a strong record of publications in relevant international