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Field
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for small patches of skin. In this project we will employ the use of a 3D printer to produce prototype devices which could be attached onto any topical product to adjust the nozzle size, and thus, the FTU
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, • in-depth knowledge of machine vision principles and image processing, • programming experience, preferably in Python, • practical experience with the design and testing of simple electronic circuits
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and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
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. Collect and analyze data from diverse sources, including plant- and soil-based sensors, images, 3D point clouds, remote sensing, environmental variables, physiological measurements, and management records
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Krios microscopes, all hosted and maintained at ETH Zurich’s imaging facility, ScopeM. Appropriate computational resources are also readily available. In addition, we have access to the biophysical
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scientific skills for image analyses and opportunities for students to attend relevant workshops and conferences in the field of imaging, neuroscience, and aging. We also encourage students to upskill
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like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy
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maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
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of Researchers (Charter and Code). Please, check out our Recruitment Policy The role We are building a small expert team within Elvan Böke Lab at the CRG to tackle fundamental questions in female fertility and
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principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put