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theory and practical algorithms that move reinforcement learning closer to real-world systems. Position 1 will focus on trajectory-centric optimization, Position 2 on adaptive policies, and both will
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to ensure efficient and stable biogas production. At the Department of Molecular Sciences, research is conducted both on process operation and optimization and on process microbiology, often in close
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and recovery. Use advanced analytical techniques to identify reaction products and guide process optimization. Collaborate with modelling, reactor engineering, and sustainability experts across the
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Australian National University | Canberra, Australian Capital Territory | Australia | about 19 hours ago
, even when they might appear conflicting. This project aims to forge an advanced framework uniting data science, machine learning, simulation, multi-objective optimization, and uncertainty-based
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development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high shares of renewable energies and increasing
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Health and Optimization Methods, which will enhance the university’s national footprint in digital health and optimization methods. This position will help support interdisciplinary collaborations in
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-scale infrastructure systems. For more details, see https://research.chalmers.se/en/project/12873 Who we are looking for The following requirements are mandatory: A doctoral degree in applied
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heat transfer, phase equilibria, fluid flow, and process control and operation Collaborate with other members of the research group and external partners to achieve project goals Present research
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real-time, sustainability-focused operations. The PhD project should include predictive models and optimization frameworks to guide the shipping sector’s transition. Moreover, the PhD student is
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each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You find information about the recruitment process at: https://employment.ku.dk