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captured from UAVs. The research will address the design of AI models capable of combining heterogeneous sensor modalities, including RGB, thermal, LiDAR, acoustic arrays, GPR, and X-ray backscatter
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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tools, such as physics-informed climate and weather predictive models, and trustworthy datasets for training and analysis. Its work aims to improve prediction capabilities and understanding of climate
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using high-dimensional healthcare data Work with standardized data representations, including the OMOP Common Data Model and standardized clinical vocabularies for conditions, drugs, procedures, and
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both natural and highly polluted conditions, and how these processes can be represented in models to theoretically assess the potential of cirrus cloud thinning as a climate intervention strategy. The
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of HNSCCs and translating these findings to benefit patients. These are divided into below approaches. 1. HNSCC modeling a. Developed syngeneic HNSCC cell lines called the mouse oral carcinoma (MOC
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for students with BSc degree with reference number BI|2026/882 under the scope of the Projet SALVE: Securing Artificial Language Models Against Vulnerability Encoding (2024.14936.PEX), funded by Fundação para a
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: Translates functional requirements into application layout and interface (including interaction models, workflows, information architectures, flowcharts and screen mockups). Interpretation: Excel in
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for the incumbent to successfully fulfill his/her job duties. Functional Requirements: Translates functional requirements into application layout and interface (including interaction models, workflows, information