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for a PhD/Postdoc position within the Control Systems Technology section at the Department of Mechanical Engineering. This project focuses on developing model predictive control (MPC) algorithms
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scientific foundation are at a turning point: decarbonization and independence of foreign fossil fuel are new requirements that drive the development towards a more distributed architecture, stochastic
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models, analysing structural properties, and developing innovative algorithms with both theoretical rigor and practical relevance. Where to apply Website https://www.academictransfer.com/en/jobs/354359
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) Assessing the performance and fault tolerance of neuromorphic hardware; (b) Designing and developing one or more machine learning (ML) and artificial intelligence (AI) algorithms to support and enhance
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Description We are looking for a PhD-candidate interested in topics that lie on the border of optimization by the use of heuristic algorithms and (Explainable) Artificial Intelligence ((X)AI). Specifically, in
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of the chair group. The new chair of the Bioinformatics Group should bring deep expertise in software/algorithm development and multi-omics data integration, combined with applications in the domain
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such as Neuro-AI, AI for Medicine, AI for Biodiversity, Systems Biology, and Algorithms. Develop strong links with partners across the Faculty of Science and Engineering — including Advanced Computing
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the development and service contracts for the required software components, including the definition and maintenance of the required processing algorithms, during initial development and later evolutions
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the power of cutting-edge digital technologies to implement and manage FAIR (Findability, Accessibility, Interoperability and Reusability) environments for data management and algorithm preservation and
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new generation of perceptual foundation models by contributing advanced perceptual pre-training and fine-tuning algorithms. What you will do You will carry out research and development in the areas