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this short-term project we will use active learning to accelerate the training of deep learning algorithm to optimize 2D material Van der Waals structure discovery. Main Tasks and responsibilities: The person
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. Minoru Otani). The post holder will undertake the following tasks: Contribution to the design, implementation, testing and demonstration of new methodologies and algorithms for the study of electrochemical
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, with a highly innovative research and technology transfer project, this could be your opportunity. Main Tasks and responsibilities: To develop and optimize the analytical performances of the multipled
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multiple Research Support Units and Facilities, staffed by highly skilled scientists and technicians whose diverse expertise adds substantial value to ICN2's research community. The division has experienced
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multiple Research Support Units and Facilities, staffed by highly skilled scientists and technicians whose diverse expertise adds substantial value to ICN2's research community. The division has experienced
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interfacing, thin-film technology and nanofabrication, growth and characterization techniques and neural data analysis. The research assistant will specialize in multiple facets of neural interfaces development
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experimentation that combines life sciences with nanoscale phenomena, supporting the cutting-edge research activities of multiple ICN2 groups. The successful candidate will be responsible for overseeing
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interfacing, thin-film technology and nanofabrication, growth and characterization techniques and neural data analysis. The research assistant will specialize in multiple facets of neural interfaces development
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communication skills with both internal and external teams. Ability to work under pressure and manage multiple tasks simultaneously. Proficiency in project management and budget tracking tools. English (high
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Synchrotron developing correlative (S)TEM in-situ experiments on catalysts, from SACs to multiple types of nanostructures. This position is linked to the AMADE PID2023 project funded by AEI / MCIN, led by Prof