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role in communication, radar, imaging, and measurement systems. This project focuses on developing advanced theoretical frameworks, algorithms, and methodologies for analysing, designing, and
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diseases from MRI images of the brain and automatic selection of examination type from referrals in radiology. The thesis work will include development of new methods, theoretical analysis, algorithm design
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within the Research Area of Inflammation at CMM. Develop new analytical algorithms to address complex, high-dimensional data. Engage in local collaborations at Karolinska Institutet and with external
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philosophy. Subject field Mathematics with specialization in Numerical Analysis. Subject description The subject includes the development, analysis and implementation of algorithms and methods for numerical
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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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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