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-precision localization and radar-based sensing. You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio
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operations. The PhD will develop and implement artificial intelligence and data-driven methods for early anomaly detection, root cause diagnosis, and failure prediction on industrial systems, leveraging
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Teaching Associate Professor to develop curricular content. Duties include: (i) teaching undergraduate and graduate level courses; (ii) designing assessments and grading; (iii) holding office hours; (iv
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transport, supply chain and logistics modelling to contribute to the development and use of the MILES (Multimodal Integrated Logistics for Simulation) and MATRA (Multi-Agent Transport Resilience and
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learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in porous materials Develop novel machine learning model for predicting
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are: i) to develop a new selected CI algorithm allowing reaching chemically-accurate results for large compounds; ii) to extend the currently-available database to properties relevant for both core
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. Responsibilities: Develop GPU-accelerated dose calculation and optimization algorithms for adaptive HDR brachytherapy. Integrate real-time adaptive planning capabilities into an in-house treatment planning system
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designing and improving general algorithms for algebraic cryptanalysis, or developing concrete attacks against proposed ciphers. This PhD position is an opportunity to explore and shape your own research
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal