10 assistant-and-professor-and-computer-and-science-and-data Postdoctoral positions at ICN2
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areas of nanoscience and nanotechnology. Job Title: Research Assistant - AI Optimisation for Materials Design Research area or group: Theoretical and Computational Nanoscience Group Description of Group
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areas of nanoscience and nanotechnology. Job Title: Research Assistant - AI Optimisation for Materials Design Research area or group: Theoretical and Computational Nanoscience Group Description of Group
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areas of nanoscience and nanotechnology. Job Title: Postdoctoral researcher Research area or group: Nanostructured Materials for Photovoltaic Energy Project title: Synthesis and Engineering of Pb-free
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, participation in project meetings, and rigorous management of data storage and analysis. Requirements: Education: A PhD in Biochemistry and Biology, Nanoscience and Nanotechnology, Materials Science or similar
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Programmable Disassembly of Reticular Materials (Clip-off Chemistry). Main Tasks and responsibilities: Synthesis and characterization of reticular materials. Clip-off synthesis of new materials/compounds using
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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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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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: Education: ·PhD in chemistry, biochemistry. Master in similar fields will be positivitely valorated. Knowledge and experience: ·Background in biosensor devices and clinical applications ·Knowledge in
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applications. The candidate will help on MSc and PhD students supervision and training. AVAILABLE INSTRUMENTS Thermo Fisher Spectra 300 (60-300 keV), double corrected and monochromated, Gatan Continuum EELS with
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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 since its