18 linked-data "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at ICN2

  • ICN2 | Barcelona, Cataluna | Spain | 29 days ago

    discipline, with extensive experience in a similar role. Knowledge: Good understanding of scientific data plotting and statistical data analysis IT tools (Origin Pro; Graph Pad Prism). Extensive technical

  • ICN2 | Barcelona, Cataluna | Spain | about 9 hours ago

    understanding of scientific data plotting and statistical data analysis IT tools (Origin Pro; Graph Pad Prism). Extensive technical knowledge and experience and an ability to understand, interpret and

  • ICN2 | Barcelona, Cataluna | Spain | about 9 hours ago

    : Indefinit. · Lloc: Bellaterra (Barcelona) · El sou dependrà de les qualificacions i experiència demostrada. · Suport als problemes de trasllat. · Assegurança de vida. Data estimada d'incorporació

  • ICN2 | Barcelona, Cataluna | Spain | 6 days ago

    experimental data analysis and scientific writing. Personal Competences: Ability to work with deadlines. Ability to be creative, proactive in research ideas and activities, excellent communication skills

  • ICN2 | Barcelona, Cataluna | Spain | 6 days ago

    experimental data, and the maintenance of accurate laboratory records in accordance with FAIR and Open Science principles. The researcher will work closely with multidisciplinary teams and contribute to

  • ICN2 | Barcelona, Cataluna | Spain | about 9 hours ago

    : 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 processes simultaneously

  • ICN2 | Barcelona, Cataluna | Spain | 21 days ago

    candidate will coordinate technical activities with ICN2 researchers and industrial partners, preparing technical reports, experimental protocols, data summaries, and documentation for project follow

  • ICN2 | Barcelona, Cataluna | Spain | about 2 months ago

    Requirements: Education: PhD in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science. Knowledge: Deep expertise in electron microscopy, particularly STEM and EELS methods. Proven

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