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As part of the PICs@ICFO Strategic Initiative, ICFO coordinates PIXEurope, a flagship Pilot Line funded under the European Chips JU program. With €400 million in investments and a consortium of 20
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Materials and Devices (AEMD) group focuses on the material sciences and technology aspects of novel electronic materials, with a strong emphasis on graphene as well as other 2D materials (MoS2). The group
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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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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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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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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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such as ATAC-seq, chIP-seq and 3D chromatin conformation capture data You have experience in the analysis of single-cell data Education and training You hold a PhD degree in Computational Biology Languages