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-rozman/home ) and Dr. Matej Krajnc (https://matejkrajnc.splet.arnes.si ) on topics related to the role of activity in 2D and 3D tissue dynamics, focusing on computational approaches such as the vertex
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using ImageJ, 3D Slicer, Dafne, MuscleMap. ● Experience working with research databases. Experience collecting and analyze data, including periodical/literature search and utilizing. ● Mastery
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using ImageJ, 3D Slicer, Dafne, MuscleMap. ● Experience working with research databases. Experience collecting and analyze data, including periodical/literature search and utilizing. ● Mastery
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processes for energy storage applications. The researcher is expected to use solution-based synthesis approaches (e.g., electrospinning, slot-die coating, and 3D printing) to fabricate battery electrodes and
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expression in vitro and in vivo. Develop and maintain advanced cell culture systems, including macrophage models and multicellular 2D/3D culture platforms. Perform co-culture experiments involving immune and
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, or 3D cell culture models. Experience with in vivo imaging. Competencies and Skills: We value not only technical expertise but also the demonstration of core competencies such as Communication, Teamwork
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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communicate complex information to specialists and within the wider academic community. Experience in developing engines and/or fuel cells models with 1D and 3D modelling tools. Experience in using MATLAB
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to characterise epithelial diversity. Findings will be validated using complementary methodologies, including mouse models, confocal microscopy, spatial proteomics, and 3D organoid co-culture systems
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, C++, or equivalent) Experience with 3D modelling, rendering, or fabrication, and haptic feedback Familiarity with computational or optimization methods applied to interaction (e.g., computational UI