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: MSc in materials science engineering. Backgrounds in chemistry, physics, computer science or a related area are also welcome. Good expertise or strong interest in numerical modeling, machine learning
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PhD candidate will have: Master’s degree (or equivalent) in Human-Computer Interaction, Psychology, or Disability Studies Strong interest in accessibility, assistive technology, human-computer
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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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accessibility by 2025, marks a critical step toward reducing these inequalities. However, technology that is not co-designed with the communities it is intended to serve often fails to address real needs and is
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opportunity to tackle these two complementary perspectives. In the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools
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professional growth in the rapidly evolving field of electronic circuits and systems. Job requirements Essential Requirements: MSc degree in Electrical / Electronic / Computer Engineering, or a closely related
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and presented at international AI, software engineering, and security venues. The position is focused on discovering new errors using behavioral models learned from software. You will extend fuzzing
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expert knowledge in a reusable format. Numerical Representation, Develop numerical representations of ship designs that are interpretable by machine learning algorithms and suitable for generative ai model
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algorithms) Proficient in English. For information please check the Graduate Schools Admission Requirements. Familiarity or interested in using machine learning is also desiered. TU Delft (Delft University
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Find2Fix will engineer the first open-source tool for the entire process from software error discovery to mitigation based on modern active learning. Job Description You will research the state