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The Basque Center for Applied Mathematics (BCAM) is launching two postdoc positions of 2 years each within BCAM–Helsinki Lab on Machine Learning and Inverse Problems, a strategic joint initiative
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Faculty Positions at the Center for Machine Learning
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position targets researchers whose primary methodological contribution lies in artificial intelligence, machine learning, probabilistic modeling, or their mathematical foundations, rather than primarily
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streams, potential equity 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
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Position Description The project will focus on the development and application of advanced data-analysis techniques for gravitational-wave science, including machine learning and deep learning
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analyse user interaction logs using data analysis techniques, machine learning and, where appropriate, process mining, in order to identify behavioural patterns relevant to personalisation and
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. The requirements for the position are: Strong background in machine learning and deep learning, with experience in developing and evaluating AI models for biomedical imaging and/or healthcare
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 15 days ago
machine learning techniques and minimizing the environmental impact of the solutions developed. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-pdi-postdo
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CFM-Centro de Física de Materiales/MPC-Materials Physics Center | Donostia-San Sebastian, Pais Vasco | Spain | 2 months ago
to establish a closed-loop platform that combines computational inverse design, robotic synthesis, online characterization, and machine learning-driven optimization of plasmonic nanoparticles. Join us
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extraction, statistical analysis, and data visualization. Apply advanced statistical, machine learning and AI methods when appropriate. Review analysis outputs and ensure methodological consistency