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community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters Advance the frontier of AI by developing multi-agent systems capable
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REQUIREMENTS Research Assistant AI Agent (Hourly) Penn State Brandywine & Penn State Great Valley (Yang) Penn State Brandywine and Penn State Great Valley faculty, Xianfang (Sharon) Tan, Ph.D., Luna Yang, Ph.D
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you apply to! Join our team! We are inviting prospective researchers to apply for two PhD positions led by Dr. Mahsa Shabani: Project 1:Socio-Ethical and Legal Requirements for Multi-Agent Generative AI
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agentic AI (e.g., large language models, algorithmic systems) shape users’ psychological and behavioral well-being, particularly among vulnerable populations. Applicants are encouraged to approach
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, the successful candidate will use radionuclide-based molecular imaging and radionuclide therapy for the detection of carnitine metabolism. You will lead the biological evaluation for this agent using a range of
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for a Research Assistant Professor position. We seek candidates whose research examines how increasingly agentic AI (e.g., large language models, algorithmic systems) shape users’ psychological and
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grapevine pathogenic fungi. Based on these experiments, the most promising biocontrol agents will be selected for further studies on their mechanisms of action. Using metabolomic analyses, we will investigate
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
national and international projects like LUMI AI Factory and Czech AI Factory projects. Your role will involve developing innovative AI applications and agentic solutions, researching AI reliability and bias
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to stay on budget and schedule to meet the milestones and deliverables Adhere to University standards regarding use of isotopes, chemicals, infectious agents, animals, human subjects, and the like. Choose
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of genetically encoded agents, primarily for photoacoustic and fluorescence imaging.Using technologies like photoacoustic imaging, we seek to visualize small populations of labeled cells (e.g. immune cells) deep