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Job Description Job Responsibilities: -Design and implement AI/ML models to analyze large-scale agricultural datasets (e.g., field trials, satellite imagery, IoT sensor data). -Develop pipelines
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collaborative research on immune development and responses to respiratory viruses. Analyze clinical and large-scale datasets (e.g., genomic, transcriptomic, proteomic data). Design and execute experiments using
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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will develop detailed lifecycle assessments and technoeconomic analyses of the pyrolysis process and for large-scale end-uses of the co-produced solid carbon. The geologic hydrogen project will develop
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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cooperative working relationships with coworkers, students and collaborators. Organizational skills to effectively manage and maintain large data sets. High level of independence and reliability. Demonstrated
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associations with socio-economic markers, health, gut microbiomes, and antibiotic resistance in large population cohorts and big data to help mitigate the global antimicrobial resistance (AMR) crisis. AMR is one
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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21 Aug 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Biological sciences Computer science Researcher Profile Recognised Researcher (R2) Established
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will develop detailed lifecycle assessments and technoeconomic analyses of the pyrolysis process and for large-scale end-uses of the co-produced solid carbon. The geologic hydrogen project will develop