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PhD MSCA - Acoustic and Ultrasound-based Predictive Maintenance Systems for Industrial Equipment Power converters are essential in numerous applications such as industry, photovoltaic systems
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; Mechatronics; Agricultural Engineering; Mechanical Engineering; Electrical/Electronic Engineering; Computer Science; Control Engineering, or a related discipline Desirable: • Programming in Python or C
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breed x system interactions. Including e.g. milk-based parameters according to other WPs, production system specific early prediction models for the control of endoparasites will be developed
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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curating electronic health records data by mapping row EHR data to common ontologies, performing natural language processing to extract clinical entities from free-text notes, performing quality control, and
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problems into scalable data science and AI solutions, contributes to predictive modeling and automation initiatives, and mentors junior analysts. Working closely with data architects, engineers
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relational database environments Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses) Apply machine learning approaches for predictive modeling
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to the development and refinement of analytical models, including predictive and spatial models, under the guidance of senior technical staff. The role supports translating quantitative outputs into meaningful
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manufacturing machines and advanced mechatronic systems, rely on ultra-reliable, low-latency, and deterministic communication between distributed sensors, controllers, and actuators. Ensuring such performance
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research program that leverages emerging technologies, artificial intelligence, predictive analytics, and advanced research platforms to surface donor opportunities, enhance prospect strategy, and improve