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-03033600, co-financed by the European Union through the COMPETE 2030 Programme, of Portugal 2030, under the following conditions: Scientific Area : Machine Learning Admission requirements
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intelligence, machine learning, and statistical methods for time-series forecasting in the electricity sector, including demand, renewable generation, and market prices. Development and evaluation of
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Partnerinserat Übersicht Research Intern – Machine learning and digital twins 100%, Zurich, fixed-term Drucken inspire AG is the leading Swiss competence centre for product innovation and advanced
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/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in mechanical engineering, mechatronics, robotics, Computer science, or a related field Experience in machine learning
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related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Research Fellow / Senior Research Fellow in Machine Learning Discovery of Flow Reactor or Microreactor
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leverages big data to explore the universe, alongside cutting-edge developments in data science using artificial intelligence and machine learning. At the same time, research in the area of Science and
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, techniques may include hyperspectral imaging, Raman spectroscopy, LIBS and/or XRF, together with calibration, multimodal co-registration, data fusion and machine-learning methods.; The research will
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Engineering or declaration of honor in which undertakes to be enrolled until the grant's contract is done; proven experience in multimodal machine learning and on the use of external data to quantify
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Partnerinserat Übersicht Postdoctoral Researcher – Iterative Learning Control of Industrial Systems 100%, Zurich, permanent Drucken inspire AG is the leading Swiss competence centre for product
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platform to support the estimation of time, effort, and service planning.; The fellow will contribute to the research, development, and validation of artificial intelligence and machine learning models