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SELECTION PROCEDURE FOR THE RECRUITMENT OF AN INITIAL-LEVEL DOCTORAL RESEARCHER ON A PRIVATE LAW EMPLOYMENT CONTRACT WITH INDEFINITE RESOLUTION CLAUSE AT THE FACULTY OF MEDICINE OF THE UNIVERSITY OF PORTO (Pr
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will explore public, stakeholder, and decision-maker perspectives on lockdown strategies, exit processes, and communications. Using co-design workshop methods, the student will develop a prototype
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, multidimensional signal processing and audiovisual computing. We are a core member of IMEC, the world-leading research and innovation center in nanoelectronics and digital technologies. Our team is currently a
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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technologies. The project employs an interdisciplinary approach based on collaboration among specialists in text and image analysis, natural language processing, large language models, vision-language models
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data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems
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++ or similar) and an interest in quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not
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-driven life science framework. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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prepared for changes to your work duties after employment. Required selection criteria You must have experience with imaging, image processing, and/or visualization, as well as excellent programming skills
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challenges of our time is straining our ability to exert cognitive control. Our Digital Age is characterized by a continuous flow of multi-source information. One of the pinnacle strategies to process that