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cell genomics as part of an international consortium to comprehensively map cell types in mammalian brains. This position provides an excellent opportunity to further develop research skills in
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protein as they move through biomolecular condensates within living cells, to understand condensate function and dysfunction in cell physiology and disease. We seek a PhD level scientist who is interested
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neural tissue, and then perform post-experiment alignment, reconstruction, and analysis of the images. This is a one-year position with the possibility of renewal based on funding and performance. A
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The Krienen lab (krienenlab.org) at the Princeton Neuroscience Institute is looking for a skilled bioinformatician to contribute to single cell genomics-based projects. The successful candidate will
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Assistant Professor Sustainable Energy and/or Data Science Princeton University invites applications for a faculty position at the assistant professor rank in the field of sustainable energy
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manipulation of identified cell types and computational modeling. Thus we expect these circuit-level reconstructions to inform specific biological experiments, enabling dramatic leaps in our understanding
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-year position with the possibility of renewal based on funding and performance. A commitment of at least two years is preferred. ● Quantitative analysis of fluorescence signals, including automatic cell
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with a robot vision engineer to control the pick and place operations. This full-time position has an initial appointment of one year and possibility of renewal based on satisfactory performance
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of one year and possibility of renewal based on satisfactory performance. For more information, see these publications. Timothy J. Lee et al. Large-scale neuroanatomy using LASSO: loop-based automated
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protein as they move through biomolecular condensates within living cells, to understand condensate function and dysfunction in cell physiology and disease. We seek a PhD level scientist who is interested