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systems, multi-function radar, AI/ML algorithms rely on high performance digital signal processing and real-time computing to provide high-fidelity results in an actionable timeframe. The ARRC intends
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circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Scientist - Computational Neuroscience. Explore our exceptional benefits ! St. Jude is
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Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job About the Job The Computational Pathology Researcher II will play a pivotal role in advancing digital and computational
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Position Details Position Information Recruitment/Posting Title Open rank tenure track faculty position in the Department of Library and Information Science, in Information Policy Department SC&I
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Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 27 days ago
Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 26 Aug 2025 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number WG4 TL1 Is the Job related
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, including, but not limited to, the following areas: Entertainment media Artificial Intelligence (AI)-related technologies, such as social robots, generative AI, recommendation systems, and algorithms Social
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-driven imaging algorithms using AI, evaluate algorithm performance through modeling and simulation, establish a research program, collaborate on research projects, seek and manage research funding
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Scheduled Hours 40 Position Summary Collect neuroimaging data and perform innovative analyses on these and related data. Develop and implement computer algorithms for analyzing the data. Assume
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, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D
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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and