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areas of nanoscience and nanotechnology. Job Title: Postdoctoral Fellowship in Hybrid Quantum Devices and Transduction Research area or group: Physics and Engineering of Nanodevices Group Description
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
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. Requirements: Minimum: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related field. Demonstrated experience implementing heuristic/metaheuristic optimisation (e.g
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different areas of nanoscience and nanotechnology. Job Title: Postdoctoral Researcher Research area or group: Advanced Electronic Materials and Devices Description of Group/Project: The Advanced Electronic
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Research area or group: Advanced Electron Nanoscopy (GAeN) Group Description of Group/Project: We are looking for a skilled Postdoctoral Researcher to support advanced characterization efforts within
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
power of the methology on neurmorphic computing applications. Main Tasks and responsibilities: Develop APIs for various codebases within the group. Mantain Docker images to ensure they are up-to-date with
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others. The candidate will be working in a very multidisciplinary project that covers topics such as chemical synthesis and functionalization, materials science, characterization techniques and prototype
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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