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Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment rate varies
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Experience with machine learning and/or statistical modeling applied to biological data Proven expertise in single-cell data analysis (scRNA-seq and/or scATAC-seq) Interest or experience in multi-modal data
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which cells sense, adapt, and respond to their environment. We study free-living unicellular organisms as model systems. Using microscopy, quantitative measurements, and molecular perturbations, we seek
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. To that end, we are interested in developing droplet-based iontronic systems, termed dropletronics , with key functions of embodied energy, logic control, stimulus responsiveness, and therapeutic delivery
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to answer: How temporal and structural sparsity can be incorporated into the 3D dynamics reconstruction model? How sparse can a measurement be and still capture a high-resolution dynamic event? How do
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to answer: How temporal and structural sparsity can be incorporated into the 3D dynamics reconstruction model? How sparse can a measurement be and still capture a high-resolution dynamic event? How do
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models, acute brain-slice recordings, calcium imaging, and cancer research would also be particularly valuable. Applicants should also demonstrate a strong research track record, including at least one