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characterization in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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for interoperable messaging that inform future innovations and policy Applicants must have a Master’s degree in computer science, human-computer interaction, or a closely related field. Due to the project's focus
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analyses on metabolomic and multi-omic datasets, contributing to cutting-edge research in inflammatory bowel disease. A key aspect of this role involves analyzing Raman spectroscopy imaging data from
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At the Faculty of Engineering and Science, AAU Energy, a position as Post Doc. is open for appointment from 1st September 2025 or soon after. The position is for 2 years, and it is funded in the new
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). This requires comprehensive integration of many data sources coming from the user, robot, and environment. This challenge can be addressed only using advanced AI. This lab will develop a radically new paradigm
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similar and have substantial experience with machine learning. Experience with generative AI for image is a large advantage, and computer vision experience is a plus. Furthermore, as AI:Xpertise is about
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background in digital design, human-computer interaction, computer science, or psychology. Prior research experience in digital prototype development and/or AI is a plus. Stipend 2: Intelligent Mobile
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bioinformatics and modeling of the complex microbial communities that shape our word. We are seeking a highly motivated post-doctoral researcher to develop scalable probabilistic machine learning models and
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for valorizing aquatic biomass in integrated value chains, from primary production to processing into innovative products and services. The main challenge in this assessment is answering prospective questions
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perspective– the consequences of developing new methods for valorizing aquatic biomass in integrated value chains, from primary production to processing into innovative products and services. The main challenge