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, and systematic evaluation of results. Objectives: Development and application of artificial intelligence algorithms for different use cases in the energy sector, e.g., forecasting of renewable energy
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disciplinary boundaries towards bioinformatics and computational biology. You do not need to arrive as an expert in both fields. This is what you will do You will develop quantum-algorithm prototypes within
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of predictive models, multimodal data integration, development of explainable AI algorithms, analysis of clinical, biological and imaging data, and implementation of software tools supporting biomedical research
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. Familiarity with programming and algorithms. Desirable An ability to apply knowledge acquired from research into teaching materials and methods. Willingness and potential to identify and develop independent
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the development of advanced digital infrastructures, such as next-generation networks (6G and beyond), as well as the vulnerability of businesses and consumers to these risks. Context and Scientific Objectives
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on the development of innovative tensor network methods to support the design, analysis, and optimization of quantum and quantum-inspired algorithms. Theoretical and computational tools will be developed
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. Develop motion-planning, task-planning, perception, control, and feedback algorithms for operation in complex laboratory environments. Integrate robotic manipulators with cameras, force/torque sensors
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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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of the ASSET Junior Professor Chair (Tenure Track Professor) will be responsible for developing and structuring a research programme of excellence at the interface of advanced algorithmics, embedded systems