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and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured biological data are increasingly common in modern
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inspection portals to monitor passing trains at operating speed. Images, acoustic and vibration signals, and identification data are combined to detect and track defects in wheels, brakes, pantographs and
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of Development, Concentration, and Form fields — thereby obtaining a "live" Egg Code for decision-making onboard the vessel at all times. Are you motivated to take a step towards a doctorate and open up exciting
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, including RT-qPCR, ELISA, immunocytochemistry, and Western blotting. Experience with sample preparation, imaging, and image analysis using confocal and high-resolution microscopy. Hands-on experience working
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for analysing authentic, synthetic, and manipulated images or videos. The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
sector for accelerated and successful use of AI. To demonstrate and prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business
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chains and security in a tense geopolitical situation. To demonstrate and prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business
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). Online vibrational spectroscopy measurements (such as Raman and FTIR). Infrared microscopy imaging of individual microbial cells. Reference analyses of the bioprocess samples with standard analytical
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
prototype maritime AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization
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using a laboratory-scale prototype representing a selected electrified energy application, such as electric propulsion or another high-performance energy conversion system The PhD candidate will