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: · Education: PhD in Materials Science or similar. Knowledge in tech transfer will be highly valuable. · Knowledge: Advanced materials development Polymeric materials development, functionalization
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: · Education: PhD in Materials Science or similar. Knowledge in tech transfer will be highly valuable. · Knowledge: Advanced materials development Polymeric materials development, functionalization
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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
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ICFO is offering up to two postdoctoral positions to well-qualified, highly motivated and dynamic young scientists who wish to enhance their scientific career in a friendly and stimulating environment. The Functional Optoelectronic NanoMaterials group at ICFO, led by ICREA Prof. Gerasimos...
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characterization techniques. Requirements: Education: PhD in Biotechnology, Chemistry or related disciplines Knowledge: Hands on experience in the following areas: electrode/device fabrication using various printing
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the stimulation of cell with external magnetic fields. Requirements: · Education: Degree in chemistry · Knowledge: In synthesis and characterization of 2D materials · Professional
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feedback to experiments (when required) - Write scientific manuscript for publication. Requirements: Education: PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
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advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated
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transport techniques. As part of this work, the group is participating in a leading international collaboration focused on hybrid photon-phonon-magnon systems, a key area in quantum information science
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computers and, as a result, many of them remain poorly understood. UItracold atoms trapped in optical lattices provide a pristine realization of the Hubbard model and hold the promise of solving many of its