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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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fluid delivery and complete lab-on-a-chip integration for point-of-care devices. The application and technology transfer of the nanobiosensor devices for clinical diagnostics and environmental control is
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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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). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different areas of nanoscience and nanotechnology. Job Title: PhD on in
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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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technology, nanofabrication) and applications, with a strong emphasis on bioelectronics for neural interfacing. Main Tasks and responsibilities: The research activity of the candidate will be part of
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: Computer Engineering, Gaming Engineering or similar. Knowledge and Professional Experience: AI programming based on Python, Auto Script, Machine and Deep learning and computer vision. To have experience
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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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. Requirements: · A PhD in Physics, Materials Science, Nanotechnology, Electrical Engineering, or a closely related field at the time of appointment. · Demonstrated experimental expertise and a proven track record
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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