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spatial genomics experiments is a plus but not necessary. Experience in carrying out independent and collaborative research. Proven experience with protocol development, software development, computational
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networks and will have access to the computational and informatics infrastructure required for clinical AI research. The position offers opportunities to work at the intersection of methodological
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national network of collaborators with similar research programs. Required Qualifications: Highly motivated postdoctoral researcher with: Experience in relational databases, big data curation and analysis
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/2025.12.12.694048v1(link is external) ). µDicer is a micro-dissection system that dices tissue sections into defined spatial units while preserving spatial context. We are currently developing methods to transfer diced
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for action ("affordances") shape neural representations, perception, and behavior. Why this position? You will sit at the center of a uniquely cross‑disciplinary team and work closely a network of
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: The candidate must have a PhD and extensive experience in modern deep neural network-based techniques. The ideal candidate should have: A PhD and a strong record of research or applied work in deep learning, with
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, and those with experience analyzing biobank data and/or expertise in machine learning will be prioritized. Candidates who demonstrate readiness to define and lead new research projects are highly
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University School of Medicine deeply appreciates the value of a diverse, equitable, and inclusive community, and defines diversity broadly to include (among other things) diversity of genders, races and
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with standard software packages related to next-generation sequencing, genomics, and epigenetics. Track record of productive research through first author, peer-reviewed publications. A self-starter
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Center (ERIC) for Genomics. Furthermore, most projects are multi-institutional and provide abundant opportunities to collaborate and network with leading genomic researchers across North America and Europe