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to deconstruct brain tumour behaviours into their cellular and molecular building blocks. Our research spans the interface of molecular biology, computational modeling, and clinical imaging, with the aim
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the position is filled. Qualifications: Ph.D. in meteorology, atmospheric science, or a closely related field Demonstrated experience in understanding processes that control clouds, precipitation and convection
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performing live-cell imaging of C. elegans germline stem cells - Designs and performs experiments to dissect the mechanism(s) regulating mitotic spindle orientation in C. elegans germline stem cells
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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related field. Proficiency in one or more of the following: in vivo electrophysiology, two-photon imaging, animal surgery, behavioral design, programming languages (Python/MATLAB), and data analysis