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program in AI, Deep Learning, and machine learning applications for climate science. This research position will advance cutting-edge approaches to climate prediction, extreme event detection, and seasonal
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projects gaining experience in image automation algorithms utilizing machine learning to enhance hemorrhagic shock resuscitation processing preparing large data sets for algorithm training learning computer
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the racial justice implications of technology, algorithmic decision-making, and surveillance tools in the criminal legal system and other systems that govern people?s lives; challenging the forces that drive
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: 272540334 Position: Development and analysis of Global-Nest and Global Storm Resolving Models Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in cooperation with NOAA's
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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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computer science, is required. MPH/MS/Ph.D. is preferred. Work Experience: Three years in a research environment. Preferred skills: Background and work knowledge in algorithms, scientific computing, and machine
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have extensive knowledge of exact and metaheuristic algorithms for complex combinatorial problems. Have computer programming skills in at least one of these computer programming languages C++/Java/Python
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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transmission methods (wired or wireless) will be optimised for robust data capture in natural sleep environments. AI-Driven Analysis: Develop advanced AI algorithms to analyse the collected sensor data, aiming
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community. Key Requirements Bachelor’s degree in Computer Science, Mathematics or related discipline or equivalent working experience. MSc or higher degree in Computer Science, AI, Data Science, or equivalent