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to seminars and academic programming at UPenn Opportunities to contribute to research and publications Participation in lab retreats and networking opportunities Exposure to a highly collaborative academic
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research mission, the lab maintains strong connections with HHMI and the broader university community, including involvement in training and mentorship initiatives. For more information about the lab, please
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researchers, software engineers, and AI/ML experts, contribute to impactful science, and be part of a dynamic community committed to advancing humanity's understanding of fundamental scientific questions
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for use within the Moore Lab and for broader adoption by the global neuroscience research community. What we provide: A team that believes in continuous learning and cultivates an environment where all
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, custom-trained neural networks, and related tools. Analyze and interpret high-dimensional neural datasets using systems neuroscience approaches such as neural networks, Bayesian inference, and decoding
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use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for microscopy image analysis are especially relevant. Include a link
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genes, regulatory networks, and signal transduction pathways underpinning the patterning and differentiation of stomata, cellular valves that support our life and sustenance. We are now expanding our
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career pathways — BBB research is highly applicable to both. Ongoing networking support, including conferences and collaboration opportunities. The opportunity to shape the direction of a growing, high
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, biochemistry, single molecule imaging, and we have enhanced these efforts using large-scale structure prediction using AlphaFold (predictomes.org). The Walter lab is a welcoming community where all members
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University. This environment offers a highly collaborative and intellectually vibrant scientific community with frequent opportunities for networking and career development. Dr. Chrysothemis Brown is an