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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements Requirements PhD degree in in machine learning, automatic control, system identification, signal
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medicine and agriculture, specifically by understanding, treating, and controlling cancer and other chronic diseases. The Hormel Institute serves as a center of technical and educational expertise
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the Foundation for Science and Technology (FCT). The employment contract has a duration of three (3) years, automatically renewable for further periods of one (1) year, up to a total duration of six (6) years
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languages such as R, Python, Matlab. Familiarity with software development best practices (e.g., unit testing, version control). Familiarity with inferential statistics and machine learning. Expertise in
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sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry assurance. AI for automatic tolerance
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. Experience with scientific writing and presenting. Further project-relevant writing skills are an asset. Excellent command of written and spoken English. While not mandatory, proficiency in an additional
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empirical support in research for the view that temporal information, in combination with diversification, plays a crucial role in controlling risk. The project aims to investigate how abrupt changes in
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electronics and hardware/software integration. Experience with Python-based programming tools for data analysis, automation, and instrument control. Hands-on experience operating and maintaining cryogenic
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crucial role in controlling risk. The project aims to investigate how abrupt changes in dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for
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carbon materials by stereolithography, including experimental validation of predictive models and production of materials with controlled textural properties: a) Systematic bibliographic survey on 3D