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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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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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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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: · 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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areas of nanoscience and nanotechnology. Job Title: Research Support Technician in Active learning Research area or group: Theoretical and Computational Nanoscience Description of Group/Project: In
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has experienced a significant expansion in recent years, reflecting a growing interest in life sciences research at the nano and micro scales. The facility plays a key role in enabling interdisciplinary
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Nanoparticles Group at ICN2, led by Dr. Neus G. Bastús, focuses on the design and synthesis of advanced inorganic nanomaterials through wet-chemistry routes, with precise control over size, morphology
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in chemistry, physics, materials science, or a related discipline. Knowledge and Professional Experience: Must have a minimum of eight years of professional experience working in an electron microscopy
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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