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Field
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season across the urban floodplains in the Twin Cities working across multiple organizations. The position will have the opportunity for flexible work during the planning and analysis of data collected. o
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professional goals. Along the way, you will engage in activities and research in several domains. Available topical areas include, but are not limited to: Optimization Reinforcement learning Bayesian analysis
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to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
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validation tests. 2. Digital Modelling & Data Analysis Support development of the AI-enabled simulation and digital model platform. Run thermal–electrical models (COMSOL, ANSYS, or equivalent). Analyse field
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semi-operational settings; • Assist in data analysis, organization, and preparation of technical reports; • Participate in knowledge dissemination and transfer activities related to the project
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collection and data analysis). Advance planning to meet deadlines for dissemination e.g. reports and papers. You will make a full and active contribution to the principles of the ‘Sheffield Academic
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and engineers. Key Responsibilities 1. AI Model Development & Testing Assist in developing machine learning and deep learning models for medical imaging analysis. Implement and fine-tune models using
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. The research may use multi-criteria decision-making (MCDM) / multi-criteria decision analysis (MCDA) tools, but that‘s not a requirement. A Scholarship of $2,000 USD, plus free access to 1000minds software
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-shooting, and data analysis · Infauna sample sorting (under a microscope) · Processing of sediment samples in lab · Field work to collect infauna and sediments · Other duties as assigned Required
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to perform RFID testing and analysis. The student is expected to conduct research and testing for the lab’s projects pertaining to LANL, which includes both running tests and processing the data gathered