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/Project: The candidate will join an interdisciplinary team working project, which aims to develop autonomous characterization workflows for functional materials. This role focuses on the automation
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. Requirements: Education: B.Sc. and M.Sc. in Physics, Materials Science, Chemistry, Computer Science, or related disciplines. - DFT-based methods and molecular dynamics. - Machine learning, and data analysis
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organic chemistry and nanotechnology (nanochemistry), as well as in the use of a wide range of characterization techniques. The candidate will develop her/his thesis in excellent scientific infrastructures
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the development of next generation Lateral Flow Assays (LFA) for the detection of biological threats. Main Tasks and responsibilities: The successful applicant will be expected to: Develop and design next
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characterization of advanced materials with unique properties for innovative engineering applications. We develop materials with precisely controlled nanoscale microstructures, enabling enhanced mechanical, magnetic
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and neural interface devices. This research project is highly multidisciplinary and will focus on 2D materials engineering to develop advanced strategies for the modulation of host tissue after surgical