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the Tergite software stack, enabling the execution of complex quantum algorithms on our 25-qubit processor. A key focus is automating calibration to ensure reliable single- and two-qubit gate operations, as
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emulsification experiments. Visualization of turbulent drop breakup using high-speed imaging Developing, improving and testing image recognition algorithms for high-speed imaging. Modelling of turbulent drop
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optimization algorithms and simulation. Collaboration with industrial partners in the logistics sector will provide opportunities for real-world application and impact. Supervision: Michele Simoni is proposed
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or thesis work related to System of Systems (SoS) integration. Experience with risk-based analytical modeling and implementation algorithms. Knowledge of energy systems and their digitalization. Mandatory
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layered dependability framework to ensure both safety and security. This involves creating advanced safety control algorithms, system dependency modelling, and fault propagation and traceability methods
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and its variants. The control of each agent will need to take into account information from other agents as well as changes in the environment. The doctoral student will develop novel algorithms
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probability and statistics, algorithmic approaches, etc). In particular the project aims at defining topological models for gene regulatory networks and further develop the use of topological data analysis in
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to accelerate complex algorithms. Exploring using Large Language Models (LLMs) to optimize and automate the tuning of large-scale parallel applications. The selected candidate will engage in research in quantum