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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g
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Materials Science, Physics, Nanoscience or similar · Knowledge: Proven experience in aberration corrected TEM, atomic scale spectroscopy and monochromated EELS. Experience in 4D-STEM will be valued
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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g
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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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or MSc (or near-completion) in Physics, Materials Science, Computer Science, Electrical/Computational Engineering, or related field. - Hands-on Python (data wrangling, scripting, automation); comfort with
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). Keep experiments reproducible (scripts, configs, logs) and write a short technical report. Requirements: Minimum required: - Enrolled BSc (Year 3-4) in Physics, Materials Science, Computer Science
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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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Science or Science Engineering (Chemistry, Physics or similar) or Degree in Finance (or similar). Knowledge: Bilingual Catalan and Spanish. Advanced level of English. Any other language will be an asset
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ranging from polymer chemistry and organic/functional synthesis to advanced materials science, the study of contaminant-surface interaction at the molecular level, and filtration prototype validation in
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and neural interface devices. This research project is highly multidisciplinary and will focus on 2D materials engineering to develop advanced strategies for the modulation of host tissue after surgical