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cells perform over time in controlled in vitro settings, biomaterial-supported culture environments, and prototype device-relevant configurations. The position requires a technically mature researcher who
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matter physics, cosmology, particle physics and quantum physics. It has real‑world impact, informing developments in energy storage, improved cancer imaging, quantum computing, nuclear fusion, pandemic
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science or similar area is required. The candidate is expected to have a profound knowledge on the majority of the following topics: Embedded systems programming Robot Operating System (ROS) experience Medical imaging
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-of-the-art biophysical methods (microscopy, spectroscopy, live cell imaging, nanotechnology and neutron and X-ray scattering) to address cutting-edge questions in biology and meet medical challenges. Our joint
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for practical applications. This project aims to develop a new OAM platform using well-designed 2D material nanocomposites based on MXenes combined with functional organic molecules, and to demonstrate prototype
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expertise and that of the team to rapidly identify problems, propose solutions, and prototype, test, and validate new ideas that expand our core technical capabilities. Your work will include designing and
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related field. Technical Expertise: A strong background in molecular and cellular biology techniques, including molecular cloning, confocal imaging, protein expression, biochemistry, and cell culture
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 11 hours ago
career. In the process of further developing their own research skills, it is expected that Postdoctoral Fellows will also play a significant role in the performance of research at the University and
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Economics (EIPE). Additional information Application documents 1. CV (without personal picture) 2. Motivation letter (max 2 pages), including a brief explanation of how your research background is related
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ambitious researcher with a strong background and experience in biomechanics, finite element modelling (FEM), medical image processing, additive manufacturing (AM). The project will be carried out in close