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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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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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Universitätsklinikum Heidelberg – UK Mannheim GmbH | Mannheim, Baden W rttemberg | Germany | 4 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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Student (f/m/d) in Quantum Algorithms for Droplet and Bubble Oscillation Dynamics Modelling. Your tasks Development and implementation of numerical and algorithmic methods for the simulation of fluid
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algorithms, deep learning, and data analytics. Hands-on experience in developing and deploying ML infrastructure, with expertise in PyTorch, or TensorFlow. Deep understanding of systems engineering with a
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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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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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leading experts working at the intersection of technology, policy, and research. Since its launch, KGI has produced influential research-backed analyses of platform governance, algorithmic design
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department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid
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Livingston Observatory, Caltech, and MIT. As LHO Scientist, you will have the opportunity to apply your skills to the design, development, implementation, and commissioning of technologies that increase