12 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"Université-de-Bordeaux-" positions in Spain
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
the group's ongoing code development. Address and resolve security issues between the front end and back end. Create a user database for the Bespokematerial project. Develop a tool that allows users to select a
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Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers
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-corruption guide, supporting the curation of the ICN2 Ethics Code, coordinating and managing the signing of documentation, collaborating in obtaining data and preparing reports and providing the Generalitat de
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. Creation of new functionalities: Design and implement new modules in both backend and frontend under the supervision of the senior team. Code quality (QA): Perform unit and integration testing to ensure
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, PCB layout), simulation, and debugging of system hardware circuits; responsible for the development, coding, and testing of core control software for the system, upper computer software (human-machine
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widely used by the academic community (about one thousand citations per year), and has been a flagship code of the MaX European Centre of Excellence for exascale computing in Materials Science (www.max
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of strategic initiatives that embed artificial intelligence into ICN2's core activities. The platform promotes good coding practices and open‑source software principles, aiming to become a central and
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highly desirable. Knowledge on AI ML/DL coding applied to STEM / EELS data analysis automation is also needed. · Professional Experience: Previous research experience in an academic or industrial setting
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
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properties of high-entropy alloy (HEA) nanoparticles. The SIESTA code will be used to compute key descriptors such as formation energies, mixing enthalpies, adsorption energies, d-band centers, and work