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and biological systems. To this end, we develop practical, clinically and diagnostically relevant cell-based models such as co-cultures and organoids. System-Engineer Cell Culture Automation 80 - 100
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focus lies on nucleic-acid delivery for next-generation therapeutics. This PhD project aims to develop lipid-based nanoparticles for the controlled co-delivery of multiple genetic cargos to cancer cells
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synthesis and characterization. Familiarity with cell culture and in vitro assays. Experience in catalysis, programming and large data analysis is a plus. Excellent communication skills and fluency in English
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into an interdisciplinary challenge Completed Master’s degree in biomaterials, chemistry, nanotechnology, or biomedical engineering. Experience in nanomaterial synthesis and characterization. Familiarity with cell culture
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science, chemistry, or related fields, with a strong publication record. Prior experience in flow-cell electrochemistry, in-situ spectroscopy (UV-Vis, Raman, FTIR), or 3D printing and polymer processing is
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related fields, with a strong publication record. Prior experience in flow-cell electrochemistry, in-situ spectroscopy (UV-Vis, Raman, FTIR), or 3D printing and polymer processing is desired. Good spoken
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technologies. We are pioneering a new class of melt-spun liquid-core fibers that selectively scavenge transition metal ions and other degradation products in lithium-ion batteries, mitigating cell damage and
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on electrochemical and structural characterization of battery materials and cells, combined with muon-based experiments. You will design and carry out experiments to identify reaction pathways and degradation
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-cell and spatial transcriptomics datasets is desirable Our offer This project was funded by the Swiss National Science Foundation and it allows close collaboration with the team of leading experts in
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mechanisms with Fe-SMA fibres, including activation, recovery stress, prestress transfer, and reactivation. Structural-scale simulation of SURPASS overlays in strengthened members, including parametric finite