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the LLM effectiveness. Key Responsibilities: Research and develop novel ML-based methodologies and algorithms for multilingual and multimodal LLMs. Working closely with other Postdoc/RA/PhD students
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with
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the essentials of linear algebra, calculus, probability, statistics, algorithms, and data structures. The goal is to provide a foundational understanding of machine learning and deep learning methods
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For the doctoral programme in question, the following are considered as other qualifications: Experience in scientific programming and algorithm development. Knowledge/experience in wireless communication systems
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity focuses on the development and experimental validation of advanced Artificial
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is recruiting a large multi-disciplinary team of postdoctoral researchers for the development of advanced computational imaging techniques and their cutting-edge applications in radio astronomy, space
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collaborative research projects, develop novel computational algorithms, and contribute to high-quality publication and grant-related activities. The position offers opportunities to work in a dynamic research
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Universitätsklinikum Heidelberg – UK Mannheim GmbH | Mannheim, Baden W rttemberg | Germany | 5 days ago
optimize bioinformatic tools, databases and workflows Collaborate with researchers to design experiments and analyze results Develop custom scripts and algorithms for data processing and visualization Your
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mathematical subjects related to computer science, such as discrete structures, analysis of algorithms, artificial intelligence, and the theory of computation. Practical software development experience
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will help to develop advanced, real-time atmospheric turbulence correction algorithms to enhance the long-range imaging quality of optical sighting systems. You will embed new knowledge