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synthesis due to steric hindrance and associated selectivity issues. Thesis Objective: This thesis aims to develop new synthetic methodologies based on controlled cationic chemistry to access these highly
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to access novel structures and reactivities. Targeted applications include "green" catalysis, the design of smart materials (magnetic, optoelectronic ), and surface functionalization. An innovative aspect
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detection. Collaboration and visits to the other partner university is expected during the PhD period. The position will provide access to CNRS/LAPTh computing resources, travel support, and a vibrant
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the MPN team at LAAS-CNRS, which offers a fabrication platform (cleanroom) and an electrical characterization platform (GHz VNA access), along with associated engineering support. Development
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modelling, both assisted by AI. The PhD candidate will have access to state-of-the-art research facilities and computational resources. He will be offered the opportunity to participate in in international
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gas analysis, a GC/MS, and an HPLC/MS. DFT calculations will be performed using annual allocations on national high-performance computing centers. More details here: https://iramis.cea.fr/en/nimbe/lcmce
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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
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is embedded in the framework of a funded ANR research project, ensuring a structured research program, access to experimental platforms, and a stimulating collaborative environment. The PhD student