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defect engineering in cerium oxide nanoparticles to optimize their redox activity and catalytic properties. This involves aqueous, room-temperature synthesis methods, advanced spectroscopic
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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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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 hydrogen technologies, focusing on synthesis, characterization, and performance evaluation. Main Responsibilities: Synthesis of materials using wet chemistry methods such as the modified Pechini method and
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experience working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h
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Laia Mayol (Associate Professor, UPF). Their area of specialisation will be formal semantics and pragmatics, and they will seek to develop skills in experimental methods. The PhD contract is fully funded