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and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components
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personalized learning experiences that are both effective and engaging. The first component of this work is to develop AI-augmented tools that enable elementary school-aged children to rapidly create
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. This project aims to examine the neurobiological and mental health impacts of cannabis exposure, with a broader goal of identifying biomarkers associated with resilience and risk for depression. As part of
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questions as to the short and long-term impacts on vascular disease risk. Published work from our laboratory has shown that both subcutaneous infusion of the major tobacco component, nicotine, and inhaled e
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will use a combination of scRNAseq, spatial transcriptomics, and highly-multiplexed imaging to understand how human macrophages respond to the early stages of cancer development. They will be a part of
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or the interest in learning programming is highly desirable. A successful candidate will interact closely with computational biologists and be responsible for designing and executing experiments that will, in part
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? Do you want to be part of a dynamic team at Stanford University, exploring the fundamental mechanisms driving pulmonary arterial hypertension (PAH)? Our laboratory is dedicated to uncovering
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Cancer Registry, as part of the national SEER registries. The postdoc fellow will work closely with statisticians, computer scientists, oncologists, and epidemiologists in the lab and other collaborating
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-solving skills. Ability to work independently and as part of a collaborative team. Required Application Materials: Cover Letter specifying past research experience/skills/accomplishments CV Contact
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University & Google DeepMind • A strong consortium of additional theorists and experimentalists working across species as part of SCENE The Tolias Lab fuses large‑scale systems neuroscience with machine