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to the presence in the groups of several postdoctoral researchers. Computing resources and support for traveling are excellent. CP3 and ICTEAM are highly international, diverse, and stimulating
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thematic seminars and reading groups (including on environmental philosophy, ethics and justice). RIPPLE currently consists of 11 senior staff members, 5 postdoctoral researchers, and an international group
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. This is still a very new research topic and many scientific questions remain unanswered. Alongside the modelling research, there will also be a measurement campaign using high-speed imaging and in-line
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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
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, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in human and animal models. Doing a PhD at our Center Embedded within both VIB and KU Leuven, we
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, molecular biology, or related disciplines FELASA certification Experience with or highly interested in experimental immunology (e.g. in vivo models, flow cytometry, imaging) Motivation to learn and apply
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patterning and key process steps High-speed analog/RF Neuromorphic computing Next-generation logic devices Novel memory concepts Quantum computing Data science and data security GaN power electronics Image
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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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adults, significantly impacting quality of life, and remain challenging to treat. Our research group has pioneered innovative methods to study voiding behavior in mice and developed live imaging techniques
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Programming experience in Python Excellent communication skills and fluency in English Collaborative personality with attention for detail Bonus but not required Experience in imaging or spatial omics data