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will autonomously estimate the flexibility of converter-interfaced loads, communicate with an aggregator, and modify their decentralized control to contribute to the resilience and reliability
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for physiological signal recording. An ability to work independently and collaboratively across disciplines will be essential. Excellent communication skills in English, both written and spoken, are required, and
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collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing under corrosive environments, and will participate in the 4D (x,y,z,time) analysis of the AM microstructure and crack
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collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing under corrosive environments, and will participate in the 4D (x,y,z,time) analysis of the AM microstructure and crack
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spatial planning. Translate scientific results, in collaboration with stakeholders, into clear, engaging visualizations and communication materials that support understanding and inform evidence-based
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: Experience with experimental animal models Understanding of interactions between diet, intestinal microbiology and host health Knowledge of sequence-based analysis of bacterial communities Capable of working
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experiments. Interest in connecting theory to experimental or real-world applications. Ability to work independently and communicate well in an international team. Research environment The PhD project will be
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
processes or improving existing ones. Demonstrated ability to develop and lead ambitious research projects. Proven success in competitive external funding acquisition. Excellent communication skills and the
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently