1,316 phd-studenship-in-computer-vision-and-machine-learning positions in Netherlands
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Machine Learning, Signal Processing and/or background in Cryptography, Computer Security Fluency in oral and written English, good presentation skills Interest in collaborating with a highly international
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strong background in machine learning, computer vision, or data-driven modeling. You have extensive experience in the development and implementation of AI and machine learning algorithms, ideally with
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in Computer Science, Statistics, Artificial Intelligence, Data Science, or a related field; Strong knowledge of and experienced with machine learning, data mining, and statistics; Knowledge of and
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The Faculty of Science, Leiden Institute of Advanced Computer Science,is looking for a: PhD Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent years
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Apply now The Faculty of Science, Leiden Institute of Advanced Computer Science,is looking for a: PhD Candidate Human-Centered Interpretable Machine Learning (1.0fte) Project description In recent
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This is a full-time post-doctoral position (1.0 FTE), initially for 1.5 years, and will be embedded within the UMC Utrecht AI-Lab initiative. Your primary focus will be the development of AI models for defect detection and process optimization of tissue constructs (based on biomaterials and...
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on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and multi-data integration, such as
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protocols, ITC will focus on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and
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we offer: A 4-year fully funded PhD position at TU Delft. The opportunity to lead a pioneering project at the intersection of mechanics, materials, and machine learning. Collaboration with
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strategies in psychiatry. This research combines recent advances in machine learning and cognitive neuroscience to contribute to future clinical tools for diagnosing and monitoring neuropsychiatric disorders