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our community. We are now looking for a Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems Are you passionate about developing AI-based and quantum-inspired
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segregation, interface-related energy losses, and insufficient process reproducibility. Addressing these challenges requires a workflow that connects rapid materials and process exploration with
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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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<span lang="en">Helmholtz-Zentrum Dresden-Rossendorf e. V.</span> | Dresden, Sachsen | Germany | about 19 hours ago
improve the sustainability, the energy efficiency and the safety of industrial processes.
The Department of Thermal Energy and Process Technology is looking for a PhD Student (f/m/d) Dynamic
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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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MQS group’s research projects. Our recent work has focused on the theory and applications of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum
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, Electrical engineering, or equivalent. You will need strong written and verbal communication skills in English. Strong machine learning fundamentals (probability, statistics, optimization) and strong
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, including but not limited to, studies related to new technologies, process integration and policy measures, as well as overall energy system aspects at local, national and supranational levels. We
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support advanced decision support systems and intelligent applications. 5. Lead the development, fine-tuning, evaluation, benchmarking, and optimization of large language models (LLMs) and other AI
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; while they are trained using GPU-based optimization methods, the actual information processing takes place without a GPU, making them energy-efficient and fast. Diffractive networks are to be designed