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oxides-is desirable. Experience with aqueous-phase synthesis, surface functionalization, or integration of experimental data with machine learning models will be considered advantageous. Strong scientific
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in synthesis of macrocycles and metal derivatives for electrocatalysis applications. Experience in heterocycle synthesis under inert atmosphere. Experience in medicinal chemistry. Experience in green
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to the pattern database • Development of AI tools to automatically detect patterns related to internal elements in the environment • Generation of real-time anomaly maps using AI tools Requirements: • Programming
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) for different nanowire chemistries such as Si, SiC and metal oxides. With these insights the student will apply methods to control nanowire structure in terms of size distribution, crystal polytype and produce
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that allow the detection of possible defects in the process of sheet metal forming and roughing of weld seams. Develop and apply explainable AI models that support workers' decisions based on the data
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-1 Component 16 of the Recovery, Transformation and Resilience Plan. National Strategy for Artificial Intelligence. ENIA's strategic axis 2 of action "Promoting the development of digital skills