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progress. Ability and willingness to work some flexible hours. Extensive experience in large-scale pre-training of large language model. Experienced in developing machine learning algorithms and large
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and curation of remote sensing data from UAV mapping missions across multiple forested sites. ML Researcher: develop biodiversity classification and LIDAR canopy analysis algorithms based on UAV remote
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, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job Responsibilities
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Machine Learning algorithms Experience in conducting neuroimaging studies in educational contexts Experience in working with databases. Responsibilities Liaise with stakeholders (E.g. participating schools
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languages, logic and algorithms, formal methods, probability and measure theory. Strong publication record and familiarity with the existing literature and research in the field of statistical machine
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monitoring and adaptive control embedded systems with multi-sensors and suitable control/machine-learning algorithms to enable automated feedback loops that improve print quality. Conduct experimental studies
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Responsibilities: Design and implement advanced AI/ML models for healthcare applications, including predictive analytics and generative AI solutions. Develop and validate digital phenotyping algorithms using
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algorithms into UAV platforms. • Conduct field experiments and system validation for UAV swarm behaviors. • Prepare technical reports. Job Requirements: • Master in Electrical
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, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, Perform data preprocessing, algorithm/method/model design
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, social media trends, and algorithm changes to identify and leverage new engagement opportunities. Stakeholder & Community Engagement Proactively engage partners to secure long-term participation and