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Field
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-country survey datasets for comparative analysis. Conceptualize and refine a theoretical framework integrating intersectionality and stigma processes. Develop and code a Bayesian meta-regression to pool and
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European Union through the ERDF Southern, Eastern and Midland Regional Development 2021-2027. The Meta Expressions project within the ARC Hub for ICT is based around the need for the development of expressive and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
, and medicine. Key Responsibilities Collaborate with researchers to design, develop, and refine large language and generative models. Develop novel algorithms for generative modeling tasks and optimize
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AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials
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algorithms for critical equipment (e.g., compressors, reaction kettles). Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
Experience with mixed-methods research, intervention research, and qualitative data analysis will be preferred. Expertise in proposal development, systematic reviews, content analysis, and meta-analysis, and
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with researchers studying plant and microbial interactions, metabolism, ecology, and (meta-)genomics. This is what you will do The focus of this project is on the inference of causal relationships based
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demand forecasting or behavior modeling Computing & Data Systems Cloud computing (AWS, Azure, GCP) Big data pipelines, distributed computing, and geospatial data processing Python, R, SQL/NoSQL
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, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems, Optimization, and AI • ML/AI
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Experience: In the development of medical devices in vision sciences. Implementation of psychophysical algorithms for vision. Design and analysis of clinical studies. Experience in functions similar to those