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, NTNU, will host the PhD position. The topic of the PhD fellowship is at the interface of numerical mathematics, generative AI models, and computer science. A successful candidate will be offered a three
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tuberculosis (TB) screening research, spanning the evaluation of novel, high-throughput molecular tests, innovative screening algorithms, and digital health tools. A core component of the role involves
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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theoretical and computational methods to describe electronic, optical, and transport properties of complex materials. The first advertised project (a) is dedicated to the methodological enhancement
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algorithm that interface with interpolated geotechnical fields to generate adaptive, variable-length stope geometries. Calibrate and validate the developed models using real-world mine data Develop, document
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the setup and tuning of active control algorithms. The most successful sensor prototypes are foreseen to be deployed in ETpathfinder seismic filters and could potentially be used for the stable recycling
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30 Sep 2026 Job Information Organisation/Company Universität Siegen Research Field Computer science » Digital systems Researcher Profile First Stage Researcher (R1) Application Deadline 29 Oct 2026
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of the PhD fellowship is at the interface of numerical mathematics, agentic and generative AI models, and computer science. A successful candidate will be offered a three-year position, which could potentially
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contribute to collaborative projects. Areas of expertise should include contrast-free super-resolution microvessel imaging algorithm, ultrafast ultrasound imaging system design, and hardware acceleration
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