174 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" scholarships in Spain
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- Universidade de Vigo
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- Basque Center for Macromolecular Design and Engineering, POLYMAT Fundazioa
- UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA
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- FUNDACIÓN PARA LA INVESTIGACIÓN MÉDICA APLICADA
- Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa
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- FUNDACION INSTITUTO INVESTIGACION SANITARIA FUNDACION JIMENEZ DIAZ
- Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC)
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- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Centro de Biotecnología y Genómica de Plantas, CBGP (UPM-INIA)
- Computer Vision Center
- Computer Vision Center (CVC)
- FUNDACIÓ ESADE - UNIVERSITAT RAMON LLULL
- Fundació per a la Universitat Oberta de Catalunya
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- Fundación Investigación del Cáncer Universidad de Salamanca
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
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- IdiPAZ
- Institut Català de Nanociència i Nanotecnologia
- Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida)
- Institute for bioengineering of Catalonia, IBEC
- Institute of Cosmos Sciences of University of Barcelona
- Institute of Photonic Sciences
- Instituto de Biología Funcional y Genómica (IBFG)
- Instituto de Investigación Biomédica de Salamanca (IBSAL)
- Instituto de Tecnología Química
- Montenegro Research Group – CIQUS
- NEIKER-Basque Institute for Agricultural Reseach and Development
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- University of A Coruña
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- University of Seville
- University of Valencia
- agencia estatal consejo superior de investigaciones cientificas
- noma de Barcelona
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Field
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early detection is a need that needs to be addressed using advanced sensors. The candidate will apply machine learning and IA methods to anticipate the evolution of the discharges. This project aims
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networks and in mobile & edge computing platforms. Where to apply Website https://networks.imdea.org/job/phd-position-on-safe-machine-learning-msca-final… Requirements Research FieldEngineering » Electrical
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structural bioinformatics, machine learning, and high-performance computing, we will build the first Human Proteome-Wide Frustration Atlas — a resource to better classify genetic Single Nucleotide Variants
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PI & HOSTING GROUP The direct responsible persons for this post are Dr. Joost van de Weijer and Bogdan Raducanu, members of the Learning and Machine Perception (LAMP) team at the CVC. For more
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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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the project ‘MultiLearn: A multimodal approach to language learning: a window into the linguistic skills of children with neurodevelopmental disorders‘. The project is led by researchers Alfonso Igualada and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about Artificial Intelligence, Machine Learning
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work. Availability for a ≥4 month stay abroad. Background in at least one of: AI/machine learning, computational modelling, microscopy, or cell/molecular biology. LanguagesENGLISHLevelGood Additional
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, MR, genetic correlation) - Managing of genetic datasets Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50402 Requirements Research FieldOtherEducation LevelMaster Degree
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combines synthetic biology, machine learning, and biosensor and pathway dynamic regulation design to produce next-generation bio-based chemicals. The Computational Synthetic Biology group (CSBG), led by Dr