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methodology includes theory, modeling, instrumentation, and data analysis. For national and global scenario, climate resilience by assessing, monitoring, and predicting the current and potential climate change
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generative AI, foundation models (multi-modal LLM) and their major application fields (multimedia analysis, biology, etc.). Site internet : https://univ-cotedazur.fr/efelia-cote-dazur Description
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EchoHEALTH . This project aims to establish a new research unit to lead the integration and analysis of environmental, health, and omics data for improved public health insights, with a particular focus on
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, (6) Metal and inorganic materials, (7) Organic materials, (8) Biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. Internationally highly esteemed
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: (1) hydrogen-related materials, (2) battery materials, (3) quantum materials, (4) semiconducting materials, (5) artificial intelligence materials, (6) metal and inorganic materials, (7) organic
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) Artificial intelligence materials, (6) Metal and inorganic materials, (7) Organic materials, (8) Biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. Highly
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will be given to research into (1) Hydrogen-related materials, (2) Battery materials, (3) Quantum materials, (4) Semiconducting materials, (5) Artificial intelligence materials, (6) Metal and inorganic
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analysis (strain identification) and mass spectrometry (metabolite measurement) to obtain a microbial metabolism catalog. Advanced microscopy and high-content flow cytometry utilizing AI and multimodal
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, and tenacity) Achieves results by setting goals using quality planning, analysis and decision making skills. Sets very structured plans and thinks through all possible contingencies. Springer Nature is
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refrigeration system R25-05 Designing and exploration of electronic materials R25-06 Electrochemical Analysis of Hydrogen Embrittlement Behavior R25-07 Advanced High-Pressure Synthesis R25-08 Optical