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its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and
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leading academic and industry partners within the Horizion Europe Project. Your profile We are looking for a highly motivated and talented candidate with a background in deep learning. The required
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2-year postdoc position within physiological effects of vitamin D on immune and inflammatory resp...
expect the candidate to meet the following requirements: A strong background in animal nutrition and physiology. Expertise in analytical techniques for evaluating immune and inflammatory markers, such as
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the Machine Learning and Artificial Intelligence. Solid mathematical and analytical skills. Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms. Experience in programming
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optimization strategies. Strong hands-on experience with experimental laboratory research and process development. Proven competence in analytical and characterization techniques such as NMR, Raman spectroscopy
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leading academic and industry partners within the Horizion Europe Project. Your profile We are looking for a highly motivated and talented candidate with a background in deep learning. The required
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the challenges of the construction sector and society in relation to the green transition. AM2PM - Additive to Predictive Construction using Learning by Printing and Networked Robots This Postdoc will have an
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: • Develop AI-driven control strategies for grid-forming inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation
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analytical skills, scientific curiosity and a clear motivation to work independently while contributing actively to a collaborative research environment. We expect that you have experience with design and
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competencies You are expected to bring strong analytical skills, scientific curiosity and a clear motivation to work independently while contributing actively to a collaborative research environment. We expect