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Field
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handling, digestion, data processing and computational workflows for high order structure determination, that will accelerate Amgens therapeutic pipeline. This is a 4 year term. What we expect of you We
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of synaptic transmission in mammalian brain and human neurons derived from human tissue. In addition, the postdoc will perform molecular, cellular and/or electro-physiological experiments. The Postdoc will
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generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides opportunities to collaborate with leading AI companies, such as Anthropic and
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independent and collaborative theoretical and computational research in quantum condensed matter physics Develop and implement high-performance scientific software, and simulation tools Publish research papers
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-performance computing (HPC) systems. Proven track record of interdisciplinary collaboration on research projects. Strong publication record in relevant fields such as environmental science, data science, or
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molecules to ameliorate lipid-based diseases such as obesity and lipodystrophy. The postdoc will gain research experience in the areas of biochemistry, cell biology, lipidology, and molecular genetics by
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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Posted on Mon, 11/24/2025 - 13:32 Important Info Faculty Sponsor First name: Maria Faculty Sponsor Last Name: Polyakova Stanford Departments and Centers: Health Policy Postdoc Appointment Term: One
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part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
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Strong programming skills Experience in organizing and handling large, multimodal data sets PREFERRED QUALIFICATIONS: Experience using AWS and other high performance computing platforms Experience using