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than the actual DNA damage itself. In this project we will use innovative single molecule imaging procedures in combination with CRISPR-Cas9-mediated gene editing to for the first-time study the effect
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the risk of disease outbreaks, yet the scientific literature paints a conflicting picture. This projects aims to reveal the ‘why?’ behind the variation in diversity-disease relationships. What mechanisms
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image As PhD candidate in the project you will explore how ceramic-making relates to histories of violence and displacement, while also fostering new forms of belonging and ownership. The project focuses
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. Reporting: Communicate findings to project partners with diverse backgrounds (e.g., space systems engineering, astrobiology, microfluidics) to support the development of a prototype LMCOOL instrument for
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of human IPSC-derived neurons and glia cells. This will be complemented by genetic, proteomic and imaging techniques and subsequent data analyses. As such, we are looking for a candidate with an interest and
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efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning
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the team you will be joining. Therefore, we would like to get the best possible picture of your knowledge, skills, and personality. Below are the qualifications and qualities considered important for
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including strain field measurement techniques such as Digital Image Correlation (DIC). Interest in sustainable manufacturing, digital twins, and circular economy solutions. Self-driven, structured, and
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different types of exercise limitations and muscle changes. Additionally, you will collect new data using non-invasive techniques like magnetic resonance imaging (MRI) and near-infrared spectroscopy (NIRS
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meter with a non-insulating pipe wall. The research will use existing MHD direct numerical simulations to investigate the flow physics. You will also construct a prototype to test the performance using