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, both in the classical and parameterized setting. The goal is to develop general tools that can provide efficient algorithms for a wide range of graph modification problems. Find more general information
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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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technologies for medical diagnostics, treatment, and monitoring. Our research activities span computational modeling, algorithm development (using both traditional signal processing and machine learning
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modeling, and algorithm development, with experimental validation using Chalmers' advanced multi-antenna testbed. The overall objective is to contribute to the development of energy-efficient and high
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intelligence in general. The focus is broadly upon the development of numerically stable and efficient computational algorithms, their implementation and testing with computer programs, both in simulation as
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of the PhD student will touch upon various topics multi-body dynamics, optimal control theory, machine learning and robotics and artificial intelligence in general. The focus is broadly upon the development
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education mainly in data science, machine learning and AI, algorithms, and mathematical modelling. Computer Networks and Systems , with the opportunity to work in traditional computer engineering subjects
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on two campuses in the city of Gothenburg. Research in the department has a wide span, from theoretical foundations to applied systems development. We provide high quality education at the bachelor's
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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before the application deadline* Demonstrate strong mathematical skills, particularly in optimization and algorithm development Have a publication record in peer-reviewed journals (e.g., IEEE Transactions