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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique
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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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data for urban characterization. The work includes developing algorithms, performing large-scale analyses, and collaborating with partners across disciplines in remote sensing, urban studies, and climate
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 16 days ago
principal investigators. MPIA also offers access to high-performance computing through the Max Planck Computing and Data Facility . The institute leads or is involved in many large science collaborations and
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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sciences. The fellow will work alongside Dr. Leslie McClure, Dean of CPHSJ, and contribute to the development and application of advanced statistical methodologies to analyze large-scale health-related
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 6 days ago
their immunogenicity; Develop analysis strategies for large data sets and correlation matrix using programming languages (R, Python, SQL, etc.); Scientific supervision of undergraduate and doctoral
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data to solve real-world environmental challenges? Join a cutting-edge international collaboration aimed at transforming wildfire preparedness in New Zealand and beyond. We are seeking a highly motivated
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big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented