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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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). 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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Sustainable processes” (IN2AQUAS), Grant number 101119555 (https://www.in2aquas.eu ). Your competencies We are looking for one highly motivated PhD candidate with strong interest in advanced water treatment 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
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Project Description The positions will be part of the MADE REACT research project, focusing on the design and operation of resilient manufacturing systems and factories. Global disruptions force