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. This PhD will develop agentic explainable AI methods for nucleotide foundation models. Building on emerging preliminary work in the AI for Bioscience group, the project will create computational methods
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 11 days ago
in chemical molecules. The Department of “Inorganic Spectroscopy” is currently seeking a candidate for a Ph.D. student or Postdoc position (f/m/d) in advanced operando spectroscopy of heterogeneous
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Want to teach machines the mechanisms behind how the world changes — and build agents that act on them? Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
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We are offering a PhD fellowship in “Agentic AI and Foundation Models for Global Pathogen Analysis” commencing September 1st, 2026, or as soon as possible thereafter. Our group and research
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uncertainties can affect the effectiveness of emergency response operations. The objective is to develop a multi-agent model of emergency response operations during flash floods, in order to study how the use
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Xi'an Jiaotong - Liverpool University – XJTLU Entrepreneur College (Taicang Campus) Industrial Intelligent Agent Research Center ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU
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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Measuring Uncertainty and Risk with Agentic AI for Decision-Oriented Modelling Apply for this job See
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the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, agentic and generative AI models, and computer science. A successful candidate will be offered a three-year
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still relies heavily on invasive biopsies. More accurate, noninvasive ultrasound imaging could reduce this burden considerably, but current contrast agents cannot fully capture the abnormal blood vessels
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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