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We are offering a PhD position in the field of algorithmic graph theory. The position is a full-time employment with a competitive monthly salary and full social benefits for up to five years. You
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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 numerically stable and efficient computational algorithms, their implementation and testing with computer programs, both in simulation as well as real robotic systems. Information about the project and the
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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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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
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-fidelity qubits operations Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer