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Systemische Neurowissenschaften). Courses covering the following subjects are offered: Basics of cellular and molecular neuroscience Sensory systems (auditory, olfactory, and visual) Cognitive and behavioural
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voiding behavior in mice and developed live imaging techniques to visualize sensory signaling in the bladder wall and dorsal root ganglion (DRG) neurons. In addition, we explore these pathways in human
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to visualize sensory signaling in the bladder wall and dorsal root ganglion (DRG) neurons. In addition, we explore these pathways in human bladder tissue samples. The LICR lab is looking to recruit 1 highly
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applied in close collaboration with our clinical colleagues for investigating visual motion in a group of healthy subjects. The successful applicant holds a Master’s degree (or equivalent) in a relevant
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the synchrotron-based imaging technique Dark-Field X-ray Microscopy and together we utilize it to visualize the evolution of internal structures in metals during plastic deformation, i.e. changes in shape due
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of detecting complex damage types in composite aircraft structures, such as delamination and lightning strike damage. Leveraging active thermography, the system will address limitations of traditional visual
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spatial planning. Translate scientific results, in collaboration with stakeholders, into clear, engaging visualizations and communication materials that support understanding and inform evidence-based
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to investigate how employing visual, acoustic, and tactile stimulation on simple behavioural tasks could lead to improvements in cognitive functions such as working memory and selective attention, as well as brain
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the detection of real versus AI videos. The focus has been from single disciplines (e.g., Masood et al., 2022), and typically technical in nature. By drawing on multiple modalities within video (i.e., visual
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, preprocessing, and visualizing high-dimensional medical images, non-imaging clinical (EMR), and genetic sequencing datasets Training and validating generative deep learning (e.g., GANs, Diffusion, Transformers