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of resistance and undesirable side effects. In response to this pressing need, there is growing interest in the development of new antiviral agents, particularly nucleoside analogs, which have shown promise in
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than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/ ) based at Department
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on the development of new AI agents, platforms or tools for use in education contexts. This is an on-campus fiscal year position (12 months) with a start date of August 12. The appointment is for one year, with
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the mechanisms underlying resistance/relapse following immunotherapy such as CAR T and developing novel agents for protecting hematopoietic stem cells following radiation exposure. The overall duties and
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
CellWhisperer method for chat-based exploration of single-cell data (Schaefer 2025 Nature Biotechnology), we develop agentic AI in the context of the Human Cell Atlas and the European Lab for Learning
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-Informed Neural Networks (PINNs) and geometric deep learning. Experience with active learning, agentic workflows, or other methods for autonomous experimentation. Familiarity with high-performance computing
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) (Reference: 11/2026) Location: The post will be based at one of the TU Dublin Campuses i.e. Aungier Street, Bolton Street, Grangegorman, Blanchardstown or Tallaght. Hours of Work: A 29.5 hour working week is
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analysis of effective tutoring moves that promote student motivation, engagement, and learning Development and evaluation of approaches to AI tutoring agents that build on high-quality data (e.g., training
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Full time, 2 years fixed term Located at the School of Chemistry on the Camperdown Campus Opportunity to contribute to multidisciplinary research on new mitochondrial targeting agents Base Salary
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for materials synthesis planning and automated solar data degradation pathway analysis based on literature data. You will support two DOE projects at 50% each. The first project is the DOE BES Data-Driven