310 distributed-algorithm-"Newcastle-University"-"Newcastle-University" positions in Spain
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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universidad de Alicante
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- University of A Coruña
- Universidade de Vigo
- FUNDACIO INSTITUT D'INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL
- ICN2
- Institute of Photonic Sciences
- Technical University of Cartagena
- Institute for bioengineering of Catalonia, IBEC
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- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Fundació per a la Universitat Oberta de Catalunya
- Institut de Físiques d'Altes Energies (IFAE)
- Institute of Chemical Research of Catalonia ICIQ
- Nature Careers
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- CIC energiGUNE
- IMDEA Networks Institute
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- Universidad Francisco de Vitoria
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- BARCELONA SUPERCOMPUTING CENTER
- CITMAga - Galician Center for Mathematical Research and Technology
- Centre de Disseny d'Equips Industrials
- Centre for Genomic Regulation
- ELISAVA
- FUNDACIÓN CANARIA PARQUE CIENTÍFICO TECNOLÓGICO
- Fundación IMDEA Nanociencia
- ICFO - The Institute of Photonic Sciences
- IDIVAL
- IMDEA Software Institute
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- IRTA
- Institute of Cosmos Sciences of University of Barcelona
- Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC)
- Instituto de Salud Carlos III
- Principe Felipe Research Center
- UNIOVI
- UNIVERSIDAD DE GRANADA
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- Universitat Autònoma de Barcelona
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- Universitat Jaume I
- Universitat Pompeu Fabra
- Universitat Pompeu Fabra - Department / School of Engineering
- Universitat de les Illes Balears
- University of Barcelona
- University of Deusto
- University of Granada
- University of the Basque Country UPV/EHU
- Vall d'hebron Institute of Oncology
- universidad de huelva
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Field
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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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Description Distribution estimation algorithms for abductive inference (total or partial) in dynamic domains. Structural learning of dynamic Bayesian networks with discrete and continuous variables (parametric
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Development, implementation and experimentation of distribution estimation algorithms in dynamic optimization problems. Where to apply E-mail lauragveiga@fi.upm.es Requirements Research FieldComputer science
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and Prisma stack. Help integrate the application with the Jutge.org public API to synchronize data. Collaborate in the implementation of algorithms for the automatic evaluation of the difficulty
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apply machine learning algorithms with special attention to digital footprint reduction and data privacy. Functions to be developed: Develop methodologies and experiments to measure and optimize
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simulation of scenarios with different materials and geometries. - Support the development and implementation of signal and image processing algorithms, including fast inversion techniques, FFT, and nonlinear
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Experience: In the development of medical devices in vision sciences. Implementation of psychophysical algorithms for vision. Design and analysis of clinical studies. Experience in functions similar to those
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engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Electrical power systems and distribution network optimization. Machine Learning and Deep Learning applied to electrical systems. Basic quantum
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generate, transmit, and detect OAM-entangled photons under realistic atmospheric turbulence. Deep learning algorithms will be employed to pre-compensate distortions in real time, maximizing state fidelity
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Offer Description The researcher will develop various applications, algorithms, and AI techniques for Virtual Power Plants (VPPs) within the distribution grid environment. These will include neural