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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications
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validating machine learning models and deep learning algorithms; analyzing large datasets, perform data cleaning, transformation, and feature engineering to prepare data for model training; deploying AI
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. The incumbent is involved in designing, training and validating machine learning models and deep learning algorithms; analyzing large datasets, perform data cleaning, transformation, and feature engineering to
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, JR102161] Application Title: Postdoctoral Researcher in Quantum Algorithms and Quantum Information Science for Quantum Field Theoretic Applications to Condensed Matter, Nuclear, and High Energy Physics
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results with spatial modelling, the project will capture the structural and functional properties of the Baltic Sea ecosystem under different management scenarios. In addition, a data-driven algorithm will
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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interest. Assists with special projects/programs. Learns machine learning algorithms on rs-fMRI data, learns how to process rs-fMRI data. Takes all of the online training for animal handling through AALAS
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solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities. The Secure AI Lab within the SEI’s AI Division focuses on improving the security
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-score methods) and selected machine-learning algorithms. Write reproducible code in Stata, R, SAS, or Python; summarize and interpret results for manuscripts, presentations, and grant proposals; and