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when a model drifts out of distribution. LEMMA tackles these bottlenecks head-on. By fusing vision-language foundation models, visual & natural-language explanations, and out-of-distribution (OOD
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, including in computational tasks where data visualization, preprocessing, or interpretation can be improved. Devises and deploys custom machine learning approaches where applicable. Provides feedback and
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, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning
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mounting tissue specimens. Visualization and analysis of IHC imaging data Multiunit electrophysiological experiments, particularly using Neuropixels Knowledge, Skills, and Abilities Excellent verbal and
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environments is necessary. Experience with data cleansing, wrangling, visualization, modelling, and interpretation is necessary. Previous experience in data science is highly desired. Previous experience in
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perception in the visually impaired and the visually restored with Retinal Prostheses by utilizing both psychophysics and neuroimaging. The proposed studies will provide crucial insights into key
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resources. As a Post-Doctoral Researcher, you will play a key role in both advancing research goals and creating visually impactful materials to support programme delivery and engagement. The Post-Doctoral
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skills in Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred
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multi-disciplinary team of academics, clinical experts, and students at Cornell University. This position will require a passion for visual design, continuing education, online training and attention
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analysis using the Digital Signal Processing (DSP) toolbox in MATLAB (including novel analyses), and data visualization via YAEL (Your Advanced Electrode Localizer). The successful candidate will also have