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characterisation tools (Raman, AFM, SEM, TGA, DLS, spectrophotometry, electron microscopy, HPLC, XPS) Good understanding of scientific data plotting and statistical data analysis IT tools (Origin Pro, Graph Pad
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platforms. Desirable: knowledge of Power BI or similar data analysis tools. Strong legal reasoning and analytical skills. Excellent attention to detail and drafting skills. Ability to manage multiple
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beyond conventional binary "bits" toward multi-level and analog memory systems that enable richer information encoding. A major thrust of the group is the development of in-memory and physical computing
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data storing and analysis (including AI). Requirements: A Bachelor and Master Degree in Nanoscience and Nanotechnology, Biotechnology, Chemistry, Materials Science or similar. Knowledge and Professional
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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characterization by different means (FTIR, UV-Vis, electron microscopies, TGA, NMR, EPR and elemental analysis, among others). - Morphological characteriztion electron microscopy, (SEM, TEM, etc...), DLS, etc
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analysis) and device performance. Personal Competences: Proactivity. Team-working and collaborative person. Good communication and writing skills in English will be required (Spanish and Catalan desirable
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will be: Work on the already existing advanced STEM and FIB equipment for the analysis of energy nanomaterials for catalysis and energy applications. Design in-situ experiments with the available gas and
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requests, collection of invoices for project justification, management of the NM Lab website and social media. Handle sensitive information and maintain confidentiality of all personal and corporate matters
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fields. Main tasks and responsibilities: · Operate and optimize advanced STEM and FIB instrumentation for the nanoscale analysis of catalytic and energy-related nanomaterials, supporting the development