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predictive maintenance of ships and maritime systems. Modern vessels generate large amounts of heterogeneous operational data from sensors, machinery, control systems, maintenance records, and other sources
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with predictable and repeatable operations. Autonomous systems need to be predictable and verifiable. Regulatory acceptance requires demonstrable evidence of safety performance. The complex design of
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reliably assess fatigue damage and predict remaining lifetime, enabling proactive maintenance strategies that extend service life and reduce CO2 emissions. Through this PhD scholarship, you will contribute
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, proteins, metabolites), aided by in silico target prediction, will enable us to uncover putative target of the compound, which will then be validated functionally using a broad range of biochemical and
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job The Netherlands relies on a network of about 2,000 km of river dikes to contain flooding in its floodplains. These dikes undergo continuous assessment, maintenance, and reinforcement to uphold
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, and localized photopatterning—govern the emergence of functional vascular networks and thereby determine the maturation, long-term maintenance, and physiological functions of engineered adipose tissue
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with mainstream industrial software/systems (e.g., DCS, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas
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on temporal data (predictive maintenance, sensory processing for robot control, etc), in which efficient on-device processing is crucial. We are looking for a highly motivated PhD candidate with an interest in
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, particularly as regards the maintenance of funding for the project to which the researcher will be assigned - the contracting scientific body proposes its termination on the grounds of an unfavorable assessment
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traffic demands increase, there is a growing need for innovative methods to continuously assess track condition and predict deterioration. This PhD project addresses this challenge by developing a novel