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Requisition Id 16166 Overview: The Programming Systems Group at ORNL seeks a forward‑leaning Postdoctoral Researcher to advance research at the nexus of Agentic AI, high‑productivity programming
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moral cognition, and AI safety. Human societies have solved an extraordinary version of the multi-agent alignment problem, getting millions to billions of individuals to cooperate, coordinate, and enforce
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strong team of synthetic chemists to support our drug-discovery efforts. The successful candidate will be involved in designing and synthesis of small molecule inhibitors as potential anti-cancer agents
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. This position is part of the DOE-BES initiative Integrated Scientific Agentic AI for Catalysis (ISAAC), a multi-facility collaboration integrating experimental measurements, simulations, and data science to
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, the causative agent of leprosy. The Shah lab is focused on pathogenesis of mycobacterial diseases. We perform detailed studies using specimens derived from human samples. This project is focused on developing
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We are seeking a highly motivated and creative Postdoctoral Researcher to join the X-ray Science Division (XSD) at Argonne National Laboratory. The successful candidate will develop web-based AI
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Tumor Center at Duke. · Independently perform bench work and mammalian cell culture/cell-based assays of tumor cell growth and response to therapeutic agents. · Learn and conduct mouse surgeries and
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collaboration and the broader HEP community. An emerging research program in agentic AI for HEP analysis, developing LLM-based systems with integrated domain knowledge of ATLAS workflows, statistical inference
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of host–pathogen interactions with the development of next-generation sequencing (NGS)-based assays to create advanced tools for detecting pathogens and adventitious agents, thereby improving product safety
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | 8 days ago
diagnostic limitations, our laboratory integrates investigations of host–pathogen interactions with the development of next-generation sequencing (NGS)-based assays to create advanced tools for detecting