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Call for Outstanding Global Postdoctoral Fellows in the Biomaterials and Regenerative Medicine Group
research team based at the School of Biomedical Sciences and Engineering, South China University of Technology (SCUT). Our research focuses on designing functional biomaterials that replicate the biochemical
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advanced STEM-related (e.g.: 4D STEM) atomic scale characterization of state-of-the-art nanomaterials. The position will allow the Junior postdoc to work in a dynamic group. As part of our team, you'll have
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Competitive Funding Team at ICFO specializing in photonics and advanced materials. This role is critical to ensuring the effective planning, execution, and monitoring of projects, as well as fostering
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Xiangtan University (XTU) is a comprehensive and national key university. It has been part of China’s prestigious “Double First-class University Plan”, which only selects elite Chinese universities
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requirements during the project development phases (basic and executive project). This profile will play a key role in overseeing the execution of the construction project and in interacting with internal and
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for associate professor starts from RMB 500,000. Generous start-up fund and ample lab and office space will be available. Relocation allowance will be available. As a valued member of our team, you can expect an
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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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analysis, modelling and reporting of results. Additional tasks may be assigned as deemed appropriate by the project supervisor. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=987
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Spanish(C2/Native). Summary of conditions: Full time work (37,5h/week) Contract Length: Temporary (substitution contract) with the potential for a permanent position in the future Location: Bellaterra
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working in a group dedicated to materials science and nanotechnology on applying similar tools. Python Programming, AI methods (ML, DL, computer vision) Summary of conditions: Full time work (37,5h/week