16 algorithm-development-"Prof"-"Washington-University-in-St" positions in Netherlands
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-funded project “Exploring the Promises and Pitfalls of AI Technology in Civil Service Provision (VALUE-AI)”, lead by dr. Kristina S. Weißmüller, in collaboration with prof. dr. Gjalt de Graaf and the
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of the chair group. The new chair of the Bioinformatics Group should bring deep expertise in software/algorithm development and multi-omics data integration, combined with applications in the domain
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cryptography guarantees better performance and faster speed for encrypting data. Without doubt, AES (Advanced Encryption Standard) and Keccak/SHA-3 (Secure Hash Algorithm 3) are the two most used and famous
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match human expectations. It is a major challenge to develop agents and frameworks that account for uncertainty, risk and interaction in the way humans do. As human behavior depends on a tightly
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-tuning algorithms. What you will do You will carry out research and development in the areas of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to
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Hunger Lab at Tilburg University, and four industry partners. In this project, you will develop and advance optimization models and algorithms to support decision-making in food supply chains, with
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academic climate for all members of the chair group. The new chair of the Bioinformatics Group should bring deep expertise in software/algorithm development and multi-omics data integration, combined with
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, and translational research. Proven analytical skills and experience in experimental research. Experience in software development (e.g., treatment planning tools, imaging algorithms, AI-based
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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across domains. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data