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/2603.06760 . A potential target application is the design of model gliders to compete in FAI competitions such as https://www.fai.org/page/f5-electric-flight . Profile Potential candidates are expected to have
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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 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