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PhD position in the area of Multivariate dependence modelling and statistical machine learning algorithms for patient risk profiling. In partnership with RECENTRE (see https://www.4tu.nl/recentre/), a
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in machine learning and deep learning methods. Knowledge in OpenCV, ROS, and Gazebo. Well organized and excellent time management skills. Excellent command of English and communication skills
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in machine learning and deep learning methods. Knowledge in OpenCV, ROS, and Gazebo. Well organized and excellent time management skills. Excellent command of English and communication skills
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conduct unique research and design machine learning algorithms for detecting relevant activities from multiple cameras, and possibly other sensors as well. Would you like to work closely with
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postdoc to analyze or synthesize tactile information (e.g., time series data) using supervised and unsupervised learning models. Besides, you will develop your a) writing and communication skills by
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& infrastructure modelling, algorithmic decision-making, transportation engineering, uncertainty quantification, geo-data analytics, machine learning, and optimization; Experience with data-driven and/or deep
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Join us on our quest to overcome a long-standing research challenge in soft tissue biomechanics through the combination of multi-modal experimental tissue testing data, machine learning and physics
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academic staff, PhD students and postdocs of the Sequential Decision Making section. We share the ambition to be the world’s top scientists in the field of AI and machine learning, and encourage you to spar
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-driven control algorithms, biomechanical modelling, system identification, machine learning, control theory. Prior experimental experience on human body dynamics and motion comfort. A strong academit track
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related field. Proficiency with machine learning methods and corresponding software packages is a plus. Experience with ultrasonic welding is a plus. Fluency in English and proven academic writing skills