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helium cryo-magnetizing stage. Your tasks in detail: 1. Experimental design and data acquisition Performing structural and chemical characterization of specimens using advanced TEM techniques, including
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two years at a time, depending on your progress through the study plan. Starting date by agreement. Salary and employment benefits The salary of PhD students is determined according to a locally
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research methods and research design. Demonstrated quantitative data-analysis skills (for example, in R or Stata). We are looking for someone with a demonstrated interest in studying the politics of violence
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innovation, robust governance and broad capacity building. AI LEARN is a consortium of 31 national and international partners from academia and the public and private sectors. About the project/work tasks
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The Crop Innovation Centre - Skills, Technology And Research Training Programme (CIC-START) is an industrial doctoral landscape award (IDLA) funded by BBSRC that tackles skills shortages in UK
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, privacy-enhancing technologies, and trustworthy AI: stating requirements precisely, designing methods that meet them, and building prototypes fast enough to use. Applicants should hold, or expect to obtain
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with predictable and repeatable operations. Autonomous systems need to be predictable and verifiable. Regulatory acceptance requires demonstrable evidence of safety performance. The complex design of
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design. The programme aims to promote social science with the city. Whether working with activists or policymakers, medical doctors or social workers, the goal is to learn from local partners and work
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 24 days ago
Job Code: MPIDS-W093 Job Offer from August 25, 2026 In the Max Planck Research Group “Theory of Turbulent Convection” of the department “Fluid Physics, Pattern Formation and Biocomplexity” we seek
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prediction to systems that reason, plan, interact and act in the physical world. This PhD addresses efficient long-horizon task execution in Physical AI—complex tasks needing sequences of decisions, subgoals