16 machine-learning-"https:" "https:" "https:" "RAEGE Az" Fellowship research jobs in Spain
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- Universitat Ramon Llull Fundació
- BARCELONA SUPERCOMPUTING CENTER
- BC3 - Basque Centre for Climate Change
- Barcelona Beta Brain Research Center
- Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa
- Fundación para la gestión de la investigación Biomédica de Cádiz
- IRB Barcelona
- Institut d'Investigacio Biomedica de Bellvitge (IDIBELL)
- Institute of Photonic Sciences
- Nature Careers
- Universitat Internacional de Catalunya
- Universitat Rovira i Virgili -DEQ
- University of Granada
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the production of polymer latexes that involves a complex, heterogeneous polymerization system and leads to polymers with a diverse range of structures. This project looks to use machine learning to better target
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: Education: Bachelor in Biosciences, or Engineering degree in Computer or Data Sciences. PhD in bioinformatics, data sciences, machine learning or related areas. Experience: previous experience working with
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, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
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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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(https://www.urv.cat/en/ ). The School of Chemical Engineering of the URV is in Campus Sescelades, Av. Països Catalans, 26, 43007 Tarragona. You will find more information about working at URV and the
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combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC
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R. Cano Calabria. Project in Charge: FELLOW ELECTROFISIOLOGÍA HPM BECA DE FORMACIÓN EN ELECTROFISIOLOGÍA CARDIACA INVASIVA. Internal Reference: BECELECTROHPMDIC-25. Where to apply Website https
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: • Graph-based learning and community detection: Identify cohesive and antagonistic groups within signed networks. • Machine learning and network embeddings: Measure consensus, polarity, and opinion shifts
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accordance with the offers announced by IDIBELL and to verify, where appropriate, that the information provided is accurate. You can find more information in our Privacy Policy at https://idibell.cat/en
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available1Company/InstituteBC3CountrySpainState/ProvinceBIZKAIACityLeioaPostal CodeE-48940StreetParque Científico de la UPV - Bº Sarriena, s/n - Edificio Sede, 1-planta 1ª Contact City Leioa Website http