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development. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404340/leverhulme-centre-f… Requirements Additional Information Work Location(s) Number of offers available1Company
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responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real
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Wattenhofer and Dr. Antonio Di Maio. You will be entrusted with designing, developing, and evaluating data-driven methods, algorithms, and systems for three independent but related research directions in
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, the project seeks to develop innovative computational techniques and theoretical insights that extend the frontiers of both fields. It focuses on leveraging recent breakthroughs that combine algorithmic
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of elements) of the model.; 3) develop an optimization algorithm based on genetic algorithms and metamodels and 4) design functionally graded OC scaffolds using different biomaterials. The doctoral candidate
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computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission
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of the candidate, the position can be at our established campus in Odense or at our developing new campus in Vejle. What we are looking for We are looking for new colleagues who can strengthen or add to our
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allows the successful applicant to choose a flexible balance between advanced machine learning method development and exciting applications on molecular data, including biomedicine and drug discovery
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dimensionality reduction * development of optimization algorithms and numerical modeling procedures * development of simulation models using commercial packages (CST, ADS, HFSS, etc.) * writing technical reports
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. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process management. Addressing data sparsity and data quality issues in industrial process data