43 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Spain
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- Autonomous University of Madrid (Universidad Autónoma de Madrid)
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engineering or similar. Knowledge and experience with deep learning models applied in computer vision. Remarkable academic trajectory, validated by a strong record of publications in relevant international
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academic quality. Promote improvement and innovation of the TFM model, incorporating trends such as educational AI, learning analytics, digital assessment, and hybrid learning. Where to apply E-mail
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9 Jan 2026 Job Information Organisation/Company Consejo Superior de Investigaciones Científicas (CSIC) Department Centre for Automation and Robotics (CAR) Research Field Technology » Transport
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or equivalent Skills/Qualifications Technical Skills: R. Python. Specific Requirements Knowledge: Causal relationships between random variables. Machine learning algorithms. Professional Experience: Have
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characterized as an inability to emulate basic human vision skills. Despite significant advances in deep learning-based computer vision systems, many limitations still exist. The main objective of this project is
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. Recognised Researcher position has been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning
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been opened. The ideal candidate holds a master's-level background in robotics, AI or related fields, with strong Python/C++ skills and experience in machine learning or planning. Experience with ROS2
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of core algorithms for image processing and computer vision based on deep learning and traditional algorithms; including but not limited to image recognition, detection, segmentation, generation
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to support machine learning model development to accelerate materials discovery: Perform high-throughput DFT and molecular dynamics simulations to investigate the thermodynamic, structural, and electronic
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parameters affect material properties and functional performance, and interacting with machine-learning and modelling teams to translate experimental results into predictive datasets. Preparing reproducible