73 phd-in-architecture-and-built-environment Postdoctoral positions at Stanford University
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passionate about building high-quality neuroscience experiments and data systems in a highly interdisciplinary environment, we encourage you to apply. You will work closely with teams led by Andreas Tolias
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, Outpatient, Carrier, TAF). Develop reproducible code and workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams
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lab in Stanford’s Psychiatry Department, led by Neir Eshel, MD, PhD. We are looking to hire curious and ambitious postdocs to join our team. Lab projects focus on the neural circuitry of reward-seeking
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-scale multimodal datasets and collaborating with leading experts in spatial biology, AI, and cancer research. Responsibilities: Design and train state-of-the-art generative AI architectures (e.g
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to work at the intersection of genetics, developmental biology, and precision medicine in a collaborative environment focused on mechanistic discovery. The Sheltzer Lab is located at Stanford University in
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and atomic-level assembly of cell walls, extracellular structures, and are constructing blueprints of how bacteria use these building blocks to engineer organized and dynamic architectures. We
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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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–immune interactions, leveraging preclinical models and clinical samples from phase 1 trials. Our goal is to bridge molecular insight with clinical translation. Environment and Resources The Kalbasi Lab is
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the liver microenvironment. Experiments will utilize animal models, cell culture including induced pluripotent stem cells, and human patient samples. Required Qualifications: Applicants should hold a PhD
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a PhD or MD-PhD, with expertise in molecular/cellular biology, bioinformatics, biochemistry, or immunology and may have expertise in cell-based and/or animal models. Preference will also be given