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or psychological interventions for patients with vulvar and sexual health concerns or (2) conduct a sexual psychophysiology study using blood flow imaging technology. As part of Dr. Bouchard’s lab, the Fellow will
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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two-photon calcium imaging and/or Neuropixels electrophysiology. A strong background in analytical and/or statistical analysis, along with proficient programming and coding skills, is essential
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will have experience with zebrafish models, light stimulus design, hyperspectral imaging, and behavioural monitoring. You will be adept in coding and analysis using tools such as MATLAB and Python
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(this overlaps with the former themes as 2D and 3D vision is often integrated with language). Related papers by the Vision-CAIR members Theme A : Aligning Latent and Image Spaces to Connect
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imaging techniques and/or behavioral testing in rodents is advantageous. It is an advantage to have expertise in genetic cell tracing techniques. Experience in managing mouse colonies with multiple
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large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and