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with expertise in Computer Vision and Artificial Intelligence, preferable but not limited to one or more of the following areas: Vision-language models 3D scene understanding and point cloud processing
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questions in large populations. The translational pharmacology group aims to understand variability in drug toxicity, drug metabolism and drug transport. Examples of this include cell-based models such as
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: Modelling products and production systems Modelling operations strategy Circular manufacturing systems Twin transition of supply chains Data-driven Operations and Supply Chain Management Enterprise systems
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or master’s degree in engineering, or equivalent, with hands-on experience in numerical modeling and software development for structural applications, preferably wind turbine blades. Advanced programming skills
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questions in large populations. The translational pharmacology group aims to understand variability in drug toxicity, drug metabolism and drug transport. Examples of this include cell-based models such as
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groups. The professor is expected to take national and international leadership in adaptive and sustainable ecosystem-based modelling and advice for management of fished stocks. The work includes analyses
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scanner hardware and software including different reconstruction techniques. Hands-on experience with preclinical models (e.g., cancer, metabolic, liver, cardiovascular diseases). Excellent communication
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to work on establishing reliable end-to-end MLOps practices for data-centric AI applications across cloud and edge environments. Responsibilities: • Research on ML models for ongoing projects, • Establish
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this area. We have excellent facilities and competences for fabrication, modeling, testing and characterization of associated materials and devices. Responsibilities and qualifications The focus
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formulating policies and regulations. Human behaviour is embedded in our research on transport systems and mobility prediction models. Our research creates a foundation for policy support related to a variety