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equipment and the newest technology The chance to independently prepare and work on your tasks An exciting work with personal responsibility in the research field of machine learning for material sciences
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Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows
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, with a focus on Cyber Security, Machine Learning and/or Data Mining Strong publication records in reputable journals/conferences Excellent programming skills in e.g., Python, Matlab, C++, etc Good
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About the Opportunity JOB SUMMARY The Sr Machine Learning (ML) Engineer applies expertise in deploying and scaling AI pipelines across at least one major cloud platform (AWS, GCP, or Azure
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The research associate will be working on machine learning (ML) models and automation for optimizing optical setups at the centre. The key job responsibilities are listed below: The research staff
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learning systems, models, and schemes Studying, transforming, and applying state-of-the-art machine learning prototypes to sponsor specific domains Searching and selecting appropriate data sets before
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learning systems, models, and schemes Studying, transforming, and applying state-of-the-art machine learning prototypes to sponsor specific domains Searching and selecting appropriate data sets before
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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master's level courses in machine learning and R programming during the autumn semester of 2025 (with a possibility of extension). The main tasks involve assisting students during lab sessions and possibly
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interdisciplinary approaches while drawing on our departmental strengths in the core sciences. Our Pittsburgh Supercomputing Center (PSC) within MCS is seeking a Machine Learning Research Engineer. In this role, you