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- Universidad Politecnica de Cartagena
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- ARQUIMEA RESEARCH CENTER
- Center for Machine Learning Research (CMLR), Peking University
- Centre for Genomic Regulation
- European Magnetism Association EMA
- Huazhong Agricultural University (HZAU)
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Mission: Support research to improve the management of renewable energies. Functions to be developed: Develop machine learning algorithms. Implement and validate computational models. Plan networks with
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description https://www.upct.es/recursos_humanos/dadmpdi/ficheros_pdi/232BORM%202026-3623.pdf CODE
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Experience with single-cell and/or high-throughput sequencing analyses Experience with data analysis and machine learning Use of version control software and GitHub Experience working with Linux environment
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the position. Where to apply Website https://sede.upct.es/tramites/RH0008 Requirements Research FieldComputer science » Computer systemsEducation LevelPhD or equivalent Research FieldComputer science
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& Security, Big Science, Biotechnology and Fintech. Main function and scope: We are looking for Senior Computer Vision Engineers / Researchers with proven experience in advanced perception algorithm
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of assuming the position. Where to apply Website https://sede.upct.es/tramites/RH0008 Requirements Research FieldComputer science » Computer architectureEducation LevelPhD or equivalent Research FieldComputer
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of the project. Where to apply Website https://www.uniovi.es/conocenos/rrhh/convocatorias/investigacion Requirements Research FieldComputer scienceEducation LevelBachelor Degree or equivalent Skills/Qualifications
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Research Infrastructure? No Offer Description Este contrato es parte del proyecto Machine learning optimization of heat pump architectures based on wireless power transfer sensors with high gain antennas
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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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discovery. This position targets researchers whose primary methodological contribution lies in artificial intelligence, machine learning, probabilistic modeling, or their mathematical foundations, rather than