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Field
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: Artificial Intelligence, including but not limited to Machine Learning, Responsible AI, and Computer Vision; Theoretical Computer Science, including Algorithms, Algorithmic Fairness, Game Theory, and Learning
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comprehensive scheduling algorithms) and handle sensitive information with confidentiality. Ability to work independently on a wide variety of tasks – both simple and complex - with minimal supervision and
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networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines, and shallow neural networks
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mission standards. Core challenges: translating advanced algorithms into field deployable and operational systems managing complex technical integration across multiple consortium partners and international
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
supporting multiple probes simultaneously. Swarms also provide the usual benefits of multi-element array reception, namely robustness to single point failures and transmit/receive diversity. The downside
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. Proficient in multiple programming languages, especially Python, Java, C. Knowledge in software engineering, data structures & algorithms, computer organization/architecture, microcontroller programming
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collected as part of the clinical trial. Develop and implement analysis algorithms for collected data. 7. Dissemination: Help the research team to develop reports of study results. Required Knowledge, Skills
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for Multi-Agent Decision-Making, https://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making
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algorithms from concept to implementation; and performing systems integration and testing for technology maturation. Minimum Qualifications: 1. Ph.D. in relevant technical field 2. 6 years experience in
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genomic and biochemical diversity and thereby contribute to sustainable food and agriculture. As a group, we contribute to multiple BSc and MSc programmes. We educate new generations of biologists