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foster a welcoming, multicultural environment. More concretely your work package, for the preparation of a doctorate, contains: We invite applications for a fully funded PhD position in Computer Vision
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, sesgos e impacto medioambiental de la adaptación de modelos de visión por computador/Analysis of the explainability, bias and environmental impact caused by the adaptation of computer vision models. Where
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with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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/reliability, and other emerging areas. Applicants must hold a PhD in Industrial Engineering or a closely related field. Applicants should also have a strong methodological background and an ability to conduct
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Health in 2019. In line with the vision and commitment of the IMH and the donors, the Program invests in the training of young investigators, preparing them for careers dedicated to advancing understanding
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of Machine Learning, Computer Vision, Large Language Models and related technologies. Relevant publications – articles in peer-reviewed scientific journals indexed in WOS with an impact factor. Excellent
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the following: (1) a cover letter, (2) a detailed CV, (3) a teaching plan and/or vision for the GRO program, (4) an education service plan and/or vision for the GRO program, and (5) the names of four references
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Science at The Technical Faculty of IT and Design invites applications for a fully funded PhD stipend in the area of Human-Computer Interaction, generative AI, creativity research and knowledge worker studies. The position
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manufacturing and manufacturing process. Are you a postdoctoral researcher or a PhD candidate who is about to graduate and has a passion for metal additive manufacturing, machine vision, data acquisition