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engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant phenotyping (assessing e.g
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support: assist researchers in performing histology (sectioning, staining, imaging), molecular biology, flow cytometry, and cell culture; maintaining accurate documentation (protocols, SOPs, results
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candidate eager to operate at the interface of molecular biology, neuroscience, and AI. Responsibilities Wet-Lab & Experimental Work Set up and optimize imaging based spatial transcriptomics protocols. Set up
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facility (JEOL cryoARM300; cryo-FIB-SEM planned for 2026) Access to state-of-the-art computing infrastructure for image processing, STA, and quantitative analysis Competitive salary and
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at the cellular level, and (iii) applying quantitative image analysis to compare structural organization across fertile and infertile donors. The project is embedded in an active collaboration with a local
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-driven hypotheses into experimental designs. Plan, execute, and oversee experiments across multiple modalities (e.g. proteomics, biochemistry, biophysics, metabolomics, imaging). Design efficient
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is to integrate genetics, cell biology, genomics, and bio-computing to unravel plant biological processes and to further translate this knowledge into value for society. Please visit us at
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visual information is processed in the brain to guide perception and behavior. Their multidisciplinary team combines in vivo physiology, circuit tracing, imaging, and behavior. The Vanderhaeghen Lab, led
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publication(s) in peer-reviewed international journals Experience in molecular biology, single cell approaches, imaging and electrophysiology are a plus Team player and great collaborator Strong interest in
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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