19 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Mines-Saint-Etienne" positions at ICN2 in Spain
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Process in the Interviews phase Project Title: Data-Driven Optimization of PtAg Hollow Nanocrystals Synthesis - Master's degree internship Group:Inorganic Nanoparticles Group, ICN2 Supervisor: Dr
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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publication repository in iMarina, including advanced curation of data. Uploading the information in the DDD (UAB open access repository) Enhancement of documents with specific metadata, defined by
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of materials and devices following the recently upgraded ISOS protocols and in-situ characterization. Process and analysis of data. Elaboration of periodic reports to keep track of the progress of the project
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
of Group/Project: The TCN group is launching an activity on marrying Artificial Intelligence with its activities and numerical tools to access charge transport information in complex (disordered) van der
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in altermagnets to encode and process information. The project involves close collaboration with experimental and theoretical partners, including large-scale synchrotron facilities. The work will be
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, fire inspections, or sanitation to gather information for the development or enforcement of safety activities. Coordinate and conduct other Health and Safety activities such as waste management, fire
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. Applicants are invited to propose a research project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques, experimental data bases and
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computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic lab book · Work in compliance with relevant Health and Safety
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(S)TEM. Requirements: Education: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods