134 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Spain
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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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- Computer Vision Center
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- AMBER laboratory
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- BCAM-The Basque Center for Applied Mathematics
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- Basque Center for Macromolecular Design and Engineering, POLYMAT Fundazioa
- CIC nanoGUNE
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- Computer Vision Center (CVC)
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- Institute for bioengineering of Catalonia, IBEC
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- UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA
- Universidad Miguel Hernandez
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- Universitat de Vic (UVIC - UCC)
- University Miguel Hernandez
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Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and
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fields. Relevant Training or Courses (optional): Experience with R or similar programming tools, or machine learning algorithms. Geographic Information Systems (GIS). Basic and advanced statistics, time
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Machine Learning A PhD position is available at the Computer Vision Center (CVC) under the supervision of Fernando Vilariño and Paula García . The successful candidate will be enrolled in
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to digital transformation. Its mission is to establish a student-centred, inclusive, digital, and green European open university, expanding access to higher education and lifelong learning for everyone
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Requirements The successful candidate will have analytical and numerical skills in quantum complex systems, and quantum machine learning. Language requeriments - Prior experience The selected candidate must have
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Description Implement and validate machine learning models and statistical algorithms for data imputation, anomaly detection and uncertainty management in geospatial environments. Collaborate in the preparation
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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging
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apply statistical and machine learning models to identify predictive markers of depression. Design and execute experimental protocols related to self- representation and chronic pain. Prepare manuscripts
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FOR DRAWING UP OF PREDOCTORAL CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 119865 Development of machine-learning and graph-based models
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predictive modelling; Bioinformatics and Knowledge Graphs (visualization and reporting); AI-based data integration across cohorts (with federated machine learning); Contribute to ongoing projects, such as: o