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Field
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holders, setting requirements on data quality and measurement conditions. Together with cardiologists, supervisors and colleague PhD students, you will further perform human testing of several prototype
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imaging technologies, such as cryo-electron tomography (cryo-ET) and expansion microscopy, have been pivotal in advancing our understanding of the structure and function of motile cilia. In contrast
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to female-biased disease along developmental trajectories. Your tasks and responsibilities Design and execute imaging-based high-throughput screening experiments Develop, optimize cellular assays and CRISPR
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Imagine a world where food production is in harmony with natural processes, farmers nurture healthy soils, and biodiversity thrives. In contrast, current monoculture farming systems undermine
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methods in forestry generate vast quantities of data and demand more accurate information. Machine learning allows for the systematization and processing of this data into new forms of information
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solution, e.g., event-based computing, which is particularly suitable for low-latency and low-power systems. In this promising computational paradigm, information is created, processed or transmitted only
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: In higher eukaryotes, proteins that lack an apparent folded structure are enriched in many vital processes. The Lemke group studies intrinsically disordered proteins in vital cellular processes
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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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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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advanced optical imaging, to characterize materials and measure cellular mechanics. Collaboration and Expertise You will work closely with our expert collaborators: Prof. Rob Jelier (Computational Biology