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Field
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states, and hidden actions; New methodological and algorithmic developments for Continuous-time RL. Missing Data Problems: Novel imputation and inference techniques in various missing data problems
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The »High-Performance Cutting « department develops technologies and application-oriented solutions for machining along the entire process chain - from process design and process simulation to real
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the total compensation value with benefits. Qualifications Experience developing software to take practical advantage of state-of-the-art ML algorithms and research results in AI. (Required) Experience
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research for digital security and is a pioneer in developing highly innovative concepts, algorithms and systems for anomaly detection, cyber threat intelligence, penetration testing and cryptography. Through
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systems. Software developed for science can change in unpredictable ways, with algorithms invented and reinvented, and SSCC is flexible and able to adapt to changing needs. SSCC’s software and computing
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serve as a central hub for industry, academia, and policy-making. Together with international research partners, we develop information-theoretically grounded and application-driven algorithms in
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Carnegie Mellon University’s Robotics Institute is searching for a Research Programmer to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging
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and public repositories, and transforms and merges multilevel omic data into user-friendly formats. The incumbent assists in development, testing, and maintenance of modular software pipelines
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developing machine learning algorithms specifically designed for medical imaging applications. In addition, performs analysis of tissue images of cancer using machine learning methods that have been prototyped
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digital solutions and sustainability services Design, implement, and optimize a data pipeline that processes EL images. Develop and integrate algorithms for image correction, stitching, and exposure