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decentralized machine learning in 6G networks, and design machine-learning algorithms that can handle the network imperfections that remain impractical to resolve at the physical layer. The focus of the research
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computing, networked systems, and beyond. The work will range from theoretical and algorithmic development of distributed protocols and coordination mechanisms, through the design and implementation
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contextualized by existing expertise in existing methods and state-of-the-art in the field. The position includes algorithm design, software implementation, and validation on experimental datasets. You will
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strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. The applicant should furthermore
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support the teaching activities courses at KTH and further develop methodologies and algorithms for the quantum computer simulators. Qualifications Requirements A graduate degree or an advanced level
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algorithms, and experimental systems research, and is closely connected to advanced-level teaching in computer systems and cybersecurity. About the research project This doctoral student position is part of a
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). Completed courses in signal processing, radar or communication systems. Communication skills in Swedish are valuable, but not required. What you will do Develop radar signal processing and algorithms
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perform 3D single-particle tracking and establish pipelines to characterise the particle motion using a combination of established tracking algorithms and machine-learning-based approaches. Additionally
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evaluation of algorithms for early drought stress detection by integrating interactive manipulation strategies with learning-based monitoring methods. This includes designing interaction primitives, processing
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://www.hogberglab.net/ ). You will contribute to the ERC Advanced Grant project qScope , where you will create and improve existing bioinformatic tools and network algorithms to help us to map RNA or protein molecules in