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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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fluid delivery and complete lab-on-a-chip integration for point-of-care devices. The application and technology transfer of the nanobiosensor devices for clinical diagnostics and environmental control is
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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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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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. Requirements: Education: Applicants must have a Masters degree in any relevant scientific discipline (Chemistry, Biology, Physics, Nanotechnology, etc.), or anticipate finishing before the start of this contract
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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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at the Faculty of Biology, Medicine and Health of The University of Manchester in the United Kingdom. Main Tasks and responsibilities: The Postdoctoral Researcher will undertake research focusing
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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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fundamental advance toward the development of more sustainable chemistry, through a new type of catalyst inspired by molecules found in nature. Main Tasks and responsibilities: Synthesis and characterization