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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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develop knowledge that supports the hydropower industry in the safe design of future dams and management of existing embankment dams, including those subjected to flexible hydropower operation. Emphasis
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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 | 23 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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programme at the Faculty of Dentistry is a prerequisite for taking up the position. The candidate is expected to complete the project within the fellowship period. A final plan for the research training must
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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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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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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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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