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101249425 — ERTA — ERASMUS-EDU-2025-PEX-TEACH-ACA), funded by the EUROPEAN EDUCATION AND CULTURE EXECUTIVE AGENCY (EACEA) – within the scope of the ERASMUS+ program. Where to apply E-mail maribel.miranda
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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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Essential skills, knowledge and experience: Experience with machine/deep learning development Data-Centric AI Knowledge Notions of cybersecurity and networks are optional Spoken and written English Desirable
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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Studies and Methodology at the Faculty of History of the University of Warsaw Where to apply E-mail praca.historia@uw.edu.pl Requirements Research FieldHistoryEducation LevelPhD or equivalent Skills
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the required application materials to both kprado@stanford.edu (link sends e-mail) and tjge@stanford.edu (link sends e-mail) : Does this position pay above the required minimum?: No. The expected base pay for
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separation on commercial recordings and extracting audio features (onsets, pitch, harmony, dynamics); curating datasets; and integrating machine learning approaches to complement rule-based methods. For more
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing