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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 21 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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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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, 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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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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across our system, and awarding nearly 12,000 degrees each year. We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating
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the planning and design of research projects, including the development of methodologies and protocols. Communication: Coordinate communication between project stakeholders, team members, and external partners
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system science – by improving models of Earth surface evolution and enabling better predictions of landscape response to climate change. Engineering and applied physics – including the design of next
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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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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