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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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-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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accumulate genetic and epigenetic changes that fuel somatic evolution through drift and selection. Over time, these processes turn tissues into molecular mosaics containing competing subclones, often carrying
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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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equivalent A solid publication record with research publication(s) in peer-reviewed international journals Experience in molecular biology, single cell approaches, imaging and electrophysiology are a plus Team
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this, we integrate mouse genetics & in vivo imaging, CRISPR gene editing, single-cell and spatial transcriptomics, high-content imaging & bioinformatics, electrophysiology & disease modeling Our lab culture
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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
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in daily research. The successful candidate: has knowledge in general wet lab practice (e.g. tissue processing, DNA/RNA processing, molecular biology) and willingness to learn new techniques and