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Field
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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
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understand the EUV-emitting plasma through radiation-hydrodynamics simulations Large amount of (image) data and a wide range of existing data analysis tools, allowing you to apply and develop your data
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institution. Biomolecular condensates have emerged as a new paradigm to understand biological functions in living cells. Dresden has pioneered research in the field of biomolecular condensates and developed
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coordinate during development and how their dysregulation contributes to neurodevelopmental disorders (NDDs). Using stem cell culture, imaging, genomic, and epigenomic approaches, the successful candidate will
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Technology are also welcome, particularly if their thesis work involved medical robotics, control systems, or image-guided interventions. Experimental Skills: Experience with experimental research in robotics
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lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
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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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will focus on integration of the extensive amount of data collected by forest machines with remote sensing data to further characterize forest structure. Remote sensing data, such as images, lidar, and
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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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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