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. Techniques we use include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience
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the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics
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PhD applicants will have obtained their doctoral degree from a PhD program with a strong foundation in basic, clinical, behaviorial, or social science with documented research training. • MD/DO trainees
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a highly motivated Postdoctoral Associate in the Clinical and Affective Neuroscience Lab (Lab Director: David Zald, PhD), housed within the Center for Advanced Human Brain Imaging Research (CAHBIR
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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, computational physics and x-ray science. The appointee will benefit from access to world-leading experimental and computational resources at Argonne including some of the world’s largest supercomputers (Polaris
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the brain. We are particularly looking for a PhD level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and its causal link with specific neural circuits
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., miniscope neural recording, connectivity tracing) to examine circuit specific function in the brain. We are particularly looking for PhD level scientist with expertise in vascular biology. Expertise in
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stem cell neuroscience Dr. Ryann Fame’s lab (famelab.stanford.edu) in the Department of Neurosurgery is recruiting a full-time postdoctoral fellow to an NIH-funded project. Dr. Fame’s research program
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. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co‑author high‑impact