63 machine-learning-"https:"-"https:"-"https:"-"https:"-"IMT---Atlantique" positions in Spain
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Electrical Machines (a second-year course of the Bachelor’s Degree in Electrical Engineering, 4,5 ECTS credits, code 44221), as well as in other related subjects offered by the school. Additionally
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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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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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areas of nanoscience and nanotechnology. Job Title: Research Assistant in Active learning Research area or group: Theoretical and Computational Nanoscience Group Description of Group/Project: In
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necessary to engage a qualified professional responsible for delivering e-learning training to primary and secondary school teachers in self-regulation and behavior modification strategies for children with
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Machine Design, Industrial Maintenance of Machinery and Automobiles, and Theory of Machines and Mechanisms. Additionally, the candidate will be expected to integrate into the department’s research lines
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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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the LAMP group at the Computer Vision Center (CVC), in Barcelona, Spain. The position is for 2-3 years and linked to the project “Foundations for Adaptive and Generalizable Deep Learning” (EXPLORA
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FOR R&D&I ACTIVITIES IN THE RESEARCH AREA OF OPTIMISING THE USE OF IRRIGATION WATER THROUGH DIGITISATION.. (C-080/25). More information: https://tablon.upct.es/anuncio/ 8zy89AYjqV Deadline for submission
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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