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. Engaging in regular group meetings, training activities, and interdisciplinary seminars at ICN2 as part of the PhD training programme. Requirements: Education: Master's degree in Materials Science, Chemistry
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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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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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of progress reports, protocols and presentations to share the latest results. Requirements: Preferably a master in chemical/materials/physical engineering. Master's in chemistry, nanoscience and nanotechnology
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project, this could be your opportunity. Main Tasks and responsibilities: To develop and optimize the biosensor analytical performances. This includes design and assessment of surface chemistry and
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works in materials science and electrochemistry for energy-related applications. It leads several research projects and industrial contracts in energy storage and conversion. We design and synthesise new
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reports, protocols and presentations to share the latest results. Requirements: Preferably a master in chemical/materials/physical engineering. Master's in chemistry, nanoscience and nanotechnology
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. Requirements: · Education: Degree in Biomedical Engineering, Electronics or Telecommunications enginering. · Knowledge or background: Background in biomedicine. Previous background in optical sensing and
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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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