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that combine principled reasoning with the efficiency of modern machine learning to enable intelligent, real-time decision-making in large-scale interconnected systems. This position offers the opportunity
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 3 days ago
research topic, which is assigned to one of the research areas offered , also allows doctoral students to contribute their own institutional experience. A structured and international learning environment is
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-based control and decision-making for complex multi-agent systems. The project explores new computational frameworks that combine principled reasoning with the efficiency of modern machine learning
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degree in Computer Science, Artificial Intelligence, Data Science, or related field; Solid background in machine learning, deep learning and foundation models such as Large Language Models; Strong
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learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen
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approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data for machine learning models to optimise membrane
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results in this field in high-tech domains such as semiconductor machines, together with a highly innovative industrial partner in the Brainport region? Then, this PhD position is made for you! Information
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and 2nd cycle): up to 5 points out of a total of 10. Curricular merits: up to 1 point out of a total of 10 in accordance with the specific criteria listed in Annex 1. Suitability for the tasks to be
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from October 1st 2025 to December, 10th 2025 (03:00 p.m., EST) Machine Learning (ML) , applications open from October 1st 2025 to December, 10th 2025 (03:00 p.m., EST) Neural Computation (PNC
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principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put