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survival data using longitudinal features, and (6) machine learning and deep learning for analyzing time-to-event outcomes, or (7) radiomics and medical imaging analysis. Required Qualifications: We seek
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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-seq, spatial transcriptomics and multiplexed immunofluorescence in-situ images, in the study of immune-stromal-cancer interactions in metastatic progression. The scholar will aim to understand
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theoretical modeling, remote imaging, and direct observation. Our research has both fundamental and applied elements. The successful candidate will demonstrate exceptional academic achievement and promise, and
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imaging and surgery. The postdoctoral scholar will be co-mentored by Professor Joseph Liao in the Department of Urology and Professor Lei Xing in the Department of Radiation Oncology. Creative, highly
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paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
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, neural circuit function (2P imaging), and biomaterials Required Application Materials: CV [including education, research experiences, publications, and previous employment] Contact information for 3
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. Preferred experience in 2P imaging and analysis for cellular migration and GCaMP. Required Application Materials: • CV [including education, research experiences, publications, and previous employment] • A
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applicant will lead a project investigating the role of mechanosensitive ion channels in different cell types in the eye. Relevant techniques include basic molecular biology, cell culture, calcium imaging
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imaging techniques such as optical coherence tomography and angiography, autofluorescence imaging, and microvascular imaging. Required Qualifications: Completion of Ph.D., M.D., or M.D. Ph.D. training and a