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behavioral experiments using next generation custom-built hardware and software platforms Develop and implement end-to-end experimental paradigms, including behavioral training and tracking, multi-Neuropixels
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probes. The postdoc will play a key role in designing and optimizing imaging devices, integrating hardware and software, and collaborating with a multidisciplinary team of clinicians, engineers, and basic
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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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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
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applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent graduates of PhD programs in statistics
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ability in a diverse sample of children with dyslexia and typical readers. Scientific reproducibility and transparency: Our team has a long history of developing open-source software to support rigorous
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Stanford’s Department of Computer Science and the Data Science team at Stanford Health Care. Our research spans both core methodological advancements (e.g., developing novel ML architectures and evaluation
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and machine learning based software to assist clinical workflow and pre-clinical studies. Recent software developed from the group has been adopted in the clinic and preclinic labs. The scientific
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the robustness to address national security challenges in cybersecurity. In particular, the postdoc will focus on applying reinforcement learning to discover vulnerabilities and failure modes in software systems
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), and dedicated veterinary technologists. Required Qualifications: Doctoral Degree (PhD, MD, or equivalent) conferred by start date. Required Application Materials: Curriculum vitae A brief cover letter