39 python "Computer Vision Center" "Computer Vision Center" Postdoctoral positions in Netherlands
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Vision, the National Archive, and the National Library of the Netherlands. The research will take place in collaboration with the HAICu fieldlab ‘Deep Journalism’, which develops functionality for
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accelerate the future of Earth Observation via transformative innovation and commercialisation actions strengthening ESA Member States’ world-leading competitiveness. Our vision is to be the “EO
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Max Planck Institute for Psycholinguistics | Nijmegen, Provincie Gelderland | Netherlands | about 1 month ago
background, with experience in one or more programming languages (e.g. R, Python, Perl, or shell scripting) Desirable experience includes : Structural equation modelling (e.g. lavaan) Meta-analysis methods
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and development schemes. Where you will be working You will work in an interdisciplinary team of developmental scientists, cognitive scientists and computer scientists at the Donders Institute . The
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
-Design). Your profile PhD in a relevant field (ethics, philosophy of science, philosophy of science in practice, science and technology studies, ethics of AI, or related domains such as computer
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interdisciplinary research environment at the intersection of conversational AI, human–computer interaction, multimodal interaction, user modelling, and cultural heritage. As a postdoctoral researcher, you will
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degree in econometrics, mathematics, computer or biomedical sciences, artificial intelligence, operations research, data science, or a related field; solid programming skills in Python or a comparable
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profile You are an enthusiastic and highly motivated researcher. You have, or will shortly, acquire a PhD degree in the field of Human-Computer Interaction, Interaction Design or Interaction Technology
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intelligence, computational biology, bioinformatics, computer science or a closely related field; • strong hands-on experience with deep learning and modern representation learning, preferably including
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partners at Princess Maxima Center) using AI/ML techniques, implement antigen data analysis and discovery processes, and contribute to the maintenance of data infrastructure in collaboration with