211 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Spain
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- Universitat de Barcelona
- ICN2
- Universitat Autònoma de Barcelona
- Institute of Photonic Sciences
- UNIVERSIDAD POLITECNICA DE MADRID
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Institute for bioengineering of Catalonia, IBEC
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Institut de Físiques d'Altes Energies (IFAE)
- Universitat Pompeu Fabra
- CIC biomaGUNE
- ICFO - The Institute of Photonic Sciences
- Universidad de Murcia
- University of Navarra
- CRAG-Centre de Recerca Agrigenòmica
- Centre for Genomic Regulation
- Computer Vision Center
- FUNDACION INSTITUTO INVESTIGACION SANITARIA FUNDACION JIMENEZ DIAZ
- Fundacion IMDEA Energia
- Fundación IMDEA Nanociencia
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Institute of Chemical Research of Catalonia ICIQ
- Universitat Pompeu Fabra - Department / School of Engineering
- BC3 - Basque Centre for Climate Change
- Barcelona Supercomputing Center (BSC)
- CIC energiGUNE
- Catalan Institute for Water Research (ICRA)
- IFIC
- IRTA
- Institut d'Investigació Biomèdica Sant Pau
- Principe Felipe Research Center
- Universidad Complutense de Madrid
- Universitat Politècnica de València
- AMADE research group
- Achucarro Basque Center for Neuroscience
- Agencia Estatal Consejo Superior de Investigaciones Científicas
- BCMATERIALS – Basque Centre for Materials, Applications and Nanostructures
- Basque Center for Macromolecular Design and Engineering, POLYMAT Fundazioa
- Biobizkaia Health Research Institute
- CIC nanoGUNE
- CSIC
- Center for Biological Research "Margarita Salas"-CSIC
- Centre de Recerca en Agrigenòmica
- Centre for Demographic Studies (CED)
- Centro de Biotecnología y Genómica de Plantas, CBGP (UPM-INIA)
- Centro ibérico para la investigación del almacenamiento de energía (CIIAE)
- Complutense University of Madrid
- ELISAVA
- European Magnetism Association EMA
- Fundació Centre de Recerca en Agrotecnologia-AGROTECNIO
- Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO)
- Fundación IMDEA Materiales
- IBIMA Plataforma BIONAND
- IdiPAZ
- Institut Català de Nanociència i Nanotecnologia
- Institut de Recerca Biomèdica de Lleida (IRBLleida)
- Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida)
- Institute of Functional Biology and Genomics
- Instituto de Investigacion Sanitaria de Navarra (IdiSNA)
- Instituto de Investigación Sanitaria del Principado de Asturias
- Instituto de Neurociencias de Alicante, CSIC-UMH
- Josep Carreras Leukaemia Research Institute (IJC)
- Nature Careers
- Pompeu Fabra University
- UNIVERSIDAD DE ZARAGOZA
- UNIVERSIDAD PUBLICA DE NAVARRA
- Universidad Autónoma de Madrid
- Universidad Pontificia Comillas
- Universidad de Huelva
- Universitat Jaume I
- University of Barcelona
- Vall d'hebron Institute of Oncology
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Field
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computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic lab book · Work in compliance with relevant Health and Safety
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in cutting-edge techniques, from detector R&D to advanced data analysis and machine learning. Attendance to international collaboration meetings, schools and workshops. Development of transferable
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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and
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or equivalent Research FieldEngineering » OtherEducation LevelPhD or equivalent Skills/Qualifications Skills in acoustics (PhD in acoustics required) and acoustics software. Skills in machine learning and deep
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. SILEX 2025) to calculate the Fire Radiative Power (FRP) and compare with satellite observations (VIIRS, SLSTR, FCI). Develop a fire front segmentation algorithm using machine learning techniques (deep
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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atmospheres and detectability studies Model development of 3D stellar atmospheres Applications of machine learning and AI to exoplanet data analysis Biomarkers and habitability of Earth-like planets Where
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subjected to a disciplinary or equivalent sanction that prevents, in their State, in the same terms access to public jobs. Specific Requirements PhD in engineering, computer science or related fields Research
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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Association. Whom would we like to hire? Professional experience Must Have You hold a PhD in a relevant field (computational biology, genomics, stem cell biology, hematology etc.), or, alternatively, you hold a