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facilities for developing hyperspectral imaging instrumentation, advanced analytical laboratories, and high-performance computing resources for data processing and model development. You will collaborate
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, and system-level behaviour for system monitoring, state estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and
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Computing Section at Aalborg University’s Department of Computer Science. We provide an ambitious and supportive research environment focused on the design and evaluation of interactive systems that
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at Aalborg University Hospital. Applicants should have: A strong technical background in machine learning, computing, data science, biomedical engineering, or a related field at the level of a master
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written) are required We offer International, interdisciplinary working environment In-house modelling, data processing and data assimilation expertise, software, and High Performance Computation (HPC
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moulding, and you will test specific mechanical and physical properties in order to generate high-quality data for training and validating Machine Learning models. You will use these models to analyse how
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with are real world, industrial scale energy systems rather than simplified lab set-ups. They include high-temperature, high-power applications, including heat pumps, thermal storage, and complex process
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system-level performance. You are able to work independently while contributing actively to an interdisciplinary and international research environment. You enjoy collaborating with colleagues and external
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the Department of Chemistry and Bioscience (BIO), our high-level research spans from basic to applied within both natural sciences and engineering. With approx. 150 employees, 75 PhD students, and 775
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Department of Chemistry and Bioscience (BIO), our high-level research spans from basic to applied within both natural sciences and engineering. With approx. 150 employees, 75 PhD students, and 775