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research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization. Some knowledge of probability and
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such as green infrastructure. Utilize digital tools (GIS, hydrological models) to analyze and visualize urban flood risks, droughts, and water flows. Assess the effects of water management strategies
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summaries and visualizations. Maintain organized documentation and contribute to research team discussions as needed. Requirements: Completion of CITI (Collaborative Institutional Training Initiative
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unavailable. Recruits and screens participants, reviews records and surveys, and maintains databases. Performs routine data analysis and prepares reports, data visualizations, and models. Essential Functions
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Descriptions (10%) Rocks: Describe hand samples and thin sections. Cores: Describe sediments visually and with smear slides. Archive digital descriptions on repository server and ensure visibility on website
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strategies to reduce hallucinations or improve model confidence Evaluate and benchmark against state-of-the-art methods the reliability and robustness of the hallucination detection system under diverse visual
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. Additional Qualifications: Experience writing for diverse audiences. Some editorial experience, in print or digital publications. Digital skills, including mapping and visualization software and Linked Open
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Recherche sur la Conservation (CRC – UAR 3224 CNRS / MNHN / French Ministry of Culture), within the Colours and Visual Effects research group. The project is part of the field of heritage science and aims
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, density, modularity) Assist with data visualization and interpretation of network graphs Document reproducible workflows and statistical procedures Contribute to research reporting and manuscript
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, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization