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the UCCS laboratory in Lens. These structures will then be dispersed in a colloidal solution. The thermophoresis step, during which the nanowires will be assembled, will be carried out using a dedicated
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of semiconductor nanoparticles (colloidal quantum dots), free control of their dimensional assembly, emergent photoelectronic properties, and application to optoelectronic devices are studied. We precisely control
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colloidal science. The project also aims at validation of safety and sustainability across the entire life cycle. BIOPOM's multidisciplinary consortium comprises experts in biochemistry and biotechnology
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these parameters affect complex formation, colloidal stability, and structural evolution. You will characterize structure, stability, and release behavior. Using advanced analytical tools (AF4-MALS, DLS, LC-MS), you
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polymer blending and colloidal lithography. Low-cost fabrication processes will be developed and optimized, and their performance will be analyzed using optical spectroscopy. Results will then be compared
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. The beamline is primarily dedicated to research on soft materials and biological specimens. Current inhouse research topics include dynamics of driven colloids, spontaneous self-assembly processes in amphiphilic
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triggered by colloids, as well as methods for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate
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in colloid and soft materials science. The Assistant will collaborate with an interdisciplinary team, including materials scientists, engineers, and clinical researchers, to design and optimise ISFI
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metasurfaces will be studied using the same probing strategies to provide a direct comparison between lithographically fabricated and colloidal metasurfaces. This combined approach will define the limits and
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by colloids, as well as methods for immobilizing these ions. Modern methods of theoretical chemistry (first principles, kinetic Monte Carlo, machine learning) will be applied to investigate diffusion