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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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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
to improve the capacity of these microbes for efficient, high-yield bioconversions from CO2 and P2X feedstocks, such as methanol, formate, and hydrogen. Our ultimate goal is to prototype and develop next
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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dedicated to digital transformation in healthcare, sports, food, and environmental monitoring through advanced (bio)chemical sensing, combining electrochemistry and imaging technologies. Led by Prof. María
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evolutionarily recent genes may buffer or exacerbate these effects. About the Labs The Bonin Lab investigates cortical circuit function in sensory systems using in vivo imaging and computational modeling
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of hematopoietic/endothelial research principles and methods including: flow cytometry, hematopoietic transplants and confocal imaging The University of Illinois System is an equal opportunity employer, including
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, sports, food safety, and environmental monitoring. By integrating electrochemical techniques and imaging technologies, the unit delivers cutting-edge solutions with real-world impact. Led by Prof. María
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of systems biology, virology, high-throughput genetics, genomics and proteomics, molecular and cell biology, high content automatic imaging, chemical biology, and organic chemical synthesis. The program Our
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-resolution imaging. The DKFZ core site is located in Heidelberg , the “City of Science ”, which is considered one of the most beautiful cities in Germany with a highly international community: An estimated
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical