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of Civil Engineering & Geosciences. Our diverse team of PhDs, postdocs, project managers and professors all share the ambition to develop smart, sustainable, and equitable mobility systems. Our unique 12
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content is created. Whether it is text, images, or music, generative AI can often produce results that match or surpass results created by humans. However, when it comes to engineering design, and
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knowledge or hands-on experience with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are
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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 of pathogen transmission
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or biophysics, quantitative image analysis and programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under
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important question to solve, as DNA damage-stalled RNA polymerase causes bigger problems for the cells than the actual DNA damage itself. In this project we will use innovative single molecule imaging
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images based on pseudo-haptics. The goals are to understand the interaction between exploration movement, multisensorial cues, and material properties and to enhance material experience and object handling
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researchers. CML has two Departments: Industrial Ecology (CML-IE) and Environmental Biology (CML-EB). Presently, about 150 fte (including postdocs and PhDs) are employed at CML. CML further collaborates with TU
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to design and implement research projects. Support nanoformulation and in vitro characterization workflows. Train in cryo-TEM sample preparation, imaging, and interpretation, leading Nanoworx’ efforts in
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another PhD candidate (on question modelling), a postdoc (on the GeoQA reasoning engine), and a technical assistant; evaluate the framework through user-centered scenarios in spatial planning