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grow in complexity and scale, traditional monitoring approaches are insufficient to ensure efficient, reliable, and fault-free operation. This project will develop novel AI methods that bridge first
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theoretical and numerical methods based on optimal control to optimize sensor selectivity and sensitivity. Using this setup, different sensor targets will be explored experimentally, and the data should be
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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an externally funded, interdisciplinary research group in insect nutrition and production, engaging national and international collaborators. Lead research on nutrient requirements to optimize
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methodologies for clinical research and healthcare applications to support decision-making in cancer care. The work will include, but will not be limited to, multimodal data integration, image processing and
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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
) closed-loop materials discovery, e.g., Bayesian Optimization, autonomous analysis of patterns, spectral data or cell-level testing. Experience with predictive control of the synthesis robotics and reaction
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processes, and product development, NIVI aims to streamline the journey from research to real-world vaccines. Our group and research Our group is part of the NIVI-R interdisciplinary research consortium. We
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is desirable. Familiarity with optimal, robust, or adaptive control approaches, particularly multi-objective formulations balancing energy performance and structural loads, will also be beneficial
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Systems for Power-to-X Processes is available within the pioneer center “CAPeX . The position is open from 1st of November 2026 or soon hereafter. Aalborg University has been ranked as the best university
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thereafter. Job description You will be working with antibodies targeting α-synuclein aggregates for therapy against Parkinson’s Disease. The antibodies will be engineered for optimal target engagement