86 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Computer-Vision-Center" PhD positions in Netherlands
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characterize subsurface structures, buried infrastructure, and material properties; · develop and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction
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Vacancy ID 2026/499 Apply now 30 days remaining Save Get personalised job matches! Create an account in 2 minutes! Research fields Engineering; Computer science Job types PhD Education level University
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data. For this, we will study the model class of linear non-Hüsler–Reiss acyclic models and their generalization that includes latent variables. Our proposal will fill a critical gap in statistical
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HCI, design research, and related fields. Your profile You have a Master's degree in Industrial Design, Interaction Design, Human-Computer Interaction, or a closely related discipline. You have
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explored during the later stages of the selection process. Applicants should have completed, or be in their final year of a university or graduate degree in robotics or computer science, mechatronics
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communication is in English. See here for more information. The chair of Engineering Dynamics was recently formed by merging the chairs of Dynamics Based Maintenance and Applied Mechanics and Data Analysis
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University of Amsterdam | Amsterdam Noord west, Provincie Noord-Holland | Netherlands | about 1 hour ago
English and enjoy working in a collaborative research environment. It is a plus—not a requirement—if you are familiar with cosmological or N-body simulations, gravitational wave data analysis, or dark
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mentality. We are looking for you, if you have: a (research) master’s degree in Artificial Intelligence, Computational Linguistics, NLP, Computer Science, Data Science, or a related field, with a strong
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, building, programming, and validating measurement setups. You have experience with, or are motivated to learn, digital signal processing and analysis of time-domain measurement data. You have programming
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quantitative data analysis. Your profile for PhD 2: An MSc degree in electrical engineering, applied physics, or a closely related field, with strong experimental academic results. A solid foundation in