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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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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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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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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
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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines
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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