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Field
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of this work is to push the capabilities and reliability of modern AI systems on challenging reasoning problems. Position available starting around October 2026 (position may begin later as well). The PhD
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PhD Positions Application Deadline 25 Sep 2026 - 13:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Dec 2026 Is the job funded
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the Quality of AI Agents) under the direction of Prof Hamid Bouchachia. The project will deliver the engineering abstractions, methods and tools needed to support reliable, scalable end-to-end development
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of vaccine and therapeutic candidates currently being produced in Good Manufacturing Practice facilities for early phase clinical trials. Minimum Requirements: Education: PhD in Immunology, Data Science and/or
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on second-life performance, safety, reliability, and lifetime using a Digital Twin. Developing methodologies for battery diagnostics, state-of-health estimation, assessment, disassembly, reconfiguration, and
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
. For the working group “Impacts of climate change on human population dynamics” PIK is offering a Scientific Position (PhD or Postdoctoral level) (m/f/d)(Position number: 24-2026 Researcher Migration) in the field
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zonotopes in digital circuits and the model checking of discrete-space systems, with the goal of developing methodologies and tools that make verification scalable and reliable. Your research will focus
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the development of reliable, scalable electrochemical technologies. Your key responsibilities will be to: Design, assemble and improve electrochemical cells and reactor prototypes, including the selection and
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investigates how electricity markets must be designed, and how demand-side flexibility must be mobilised, for a power system dominated by variable renewable generation to remain reliable and affordable
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-making. The successful candidate will join Principal Investigator Christensen in addressing the long-standing challenge of delivering reliable probabilistic weather and climate predictions. The project