Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- 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
- Centre for Genomic Regulation
- ICN2
- Institut Català de Nanociència i Nanotecnologia
- Institute for bioengineering of Catalonia, IBEC
- UNIVERSIDAD PUBLICA DE NAVARRA
- Universidad de Alicante
- Universitat Politecnica de Valencia
- Universitat Pompeu Fabra
- Universitat de Barcelona
- 4 more »
- « less
-
Field
-
biomedical signal processing and artificial intelligence applied to cardiovascular health, with extensive collaboration with hospitals and international research partners. Selection process Interested
-
/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
-
/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
-
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
-
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
-
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
-
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
-
. This role focuses on the automation of microscopy acquisition protocols, contributing to the development of high-throughput platforms combining electron microscopy and artificial intelligence. PeCATHS is
-
the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
-
artificial intelligence. Good knowledge of linear algebra and optimization tools. Good programming skills in Python and Matlab. Good written and oral communication skills in English. Specific Requirements