14 data "https:" "https:" "https:" "https:" "Brunel University London" uni jobs 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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well as regional efforts such as the Quantum Catalan Academy (https://cataloniaquantum.eu/ ) and the Master in Quantum Science and Technology (https://quantummasterbarcelona.eu/ ). These initiatives contribute to a
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. Estimated Incorporation date: as soon as possible Action funded with CEX2021-001214-S/MICIU/AEI/10.13039/501100011033. How to apply: All applications must be made via the ICN2 website https://jobs.icn2.cat
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performance. A key aspect of the PhD will be the systematic documentation and curation of experimental data in a FAIR-compliant materials database, including synthesis protocols, characterisation results, and
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: Education: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and FIB methods. Proven experience in
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: The candidate will be involved in the design and development of the software and programming tools for the read-out and data management of the optical biosensors. The main tasks include: Phyton programming and
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to support future project maintenance. Agile methodologies: Actively participate in team ceremonies (Daily Stand-ups, Sprint Planning, Retrospectives). Requirements: Bachelor's Degree in Computer Engineering
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, sparsity, and symmetry. Data pipeline: Curate datasets from DFT calculations (and, where relevant, Wannier/TB extractions); implement preprocessing, splits, and rigorous validation. Metrics and validation
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processing of administrative procedures. - Preparation and updating of lists, reports, and tracking data (reports, indicators, etc.). · Communication and Dissemination Support: - Collaboration in
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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical