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- UNIVERSIDAD POLITECNICA DE MADRID
 - University of A Coruña
 - Agencia Estatal Consejo Superior de Investigaciones Científicas
 - Agency for Management of University and Research Grants (AGAUR)
 - BCBL - Basque Center on Cognition, Brain and Language
 - BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
 - Centre for Genomic Regulation
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 - Institut Català de Nanociència i Nanotecnologia
 - Institute for bioengineering of Catalonia, IBEC
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biomedical signal processing and artificial intelligence applied to cardiovascular health, with extensive collaboration with hospitals and international research partners. Selection process Interested
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/funding reference: TSI-100925-2023-1 Component 16 of the Recovery, Transformation and Resilience Plan. National Strategy for Artificial Intelligence. ENIA's strategic axis 2 of action "Promoting
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/funding reference: TSI-100925-2023-1 Component 16 of the Recovery, Transformation and Resilience Plan. National Strategy for Artificial Intelligence. ENIA's strategic axis 2 of action "Promoting
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experience related to the position in artificial intelligence application programming and network programming (punctuation: 35) Item 04: Specific education related to the position, see previous point
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FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 116329 Completion of a doctoral thesis on manufacturing process optimization through the implementation of Artificial Intelligence
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Description Industrial PhD: Application of artificial intelligence and data analytics to the optimization of industrial processes Where to apply E-mail doctorats.industrials.recerca@gencat.cat Requirements
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(or equivalent) degree in Telecommunication Engineering or Computer Science. Good knowledge of signal processing and artificial intelligence. Good knowledge of linear algebra and optimization tools
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produced by the EU in terms of climate change or artificial intelligence? Where to apply Website https://apply.interfolio.com/174494 Requirements Research FieldOtherEducation LevelMaster Degree or equivalent
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and advanced computational approaches, with a strong focus on metabolomics and artificial intelligence. The PhD candidate will: Conduct research as defined in the project’s research plan. Contribute
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hydrogen fuel cell- and electric battery-powered vehicles by applying Artificial Intelligence paradigms” of the University Institute for Computer Research. Reference: I-PI 70-25 Pursuant to the provisions