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and physics-based models for battery behaviour. Designing advanced BMS algorithms for real-time monitoring and control. Creating generalizable tools applicable to various battery types, geometries, and
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system complexity. Your work will include: Developing modular, efficient, and transparent control algorithms. Combining model predictive control with learning-based motion prediction under uncertainty
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(lth.se). We invite applications for one to two PhD positions dedicated to developing methodologies for the automated analysis and design of first-order optimization algorithms. Such algorithms form
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related to staff position within a Research Infrastructure? No Offer Description Project description We are looking for two highly motivated individuals to pursue a Ph.D. in algorithms, data structures, and
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-driven techniques to improve software design and performance, using machine learning algorithms for specific tasks in web development or project management, or using AI for testing and continuous
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encryption algorithms, key management, and secure communication protocols. Internet security, focusing on securing web applications, understanding common threats, and implementing security best practices
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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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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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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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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