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data types (transcriptomics, proteomics, imaging). AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional relationships from perturbation data. FAIR
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and refined our pioneering AI-driven methods. This project focuses on improving protein structure prediction, design, quality assessment, and dynamics using innovative machine learning techniques. You
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, signal processing and/or wireless communication. Basic knowledge of and/or experience in working with reinforcement learning/other machine learning algorithms Excellent command of spoken and written
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, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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group, which specializes in machine learning and systems glycobiology, and will be financed by the Future Research Leaders 9 (FFL-9) program from the Swedish Foundation for Strategic Research. Doctoral
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to a better world. We look forward to receiving your application! We are now looking for a PhD student in Integrated Circuits and Systems, at the Department of Electrical Engineering (ISY). Your work
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where all team members can thrive. We offer a stimulating research and learning environment with advanced PhD courses in areas such as optimal control, machine learning, and probability theory
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stimulating research and learning environment with advanced PhD courses in areas such as optimal control, machine learning, and probability theory. The working language is English, and our team is international
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(e.g., power electronics or machine learning applications in power systems). The PhD degree must have been awarded no more than three years prior to the application deadline*. The ideal candidate has
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will be part of the Bojar group, which specializes in machine learning and systems glycobiology, and will be financed by an ERC Starting Grant. Doctoral studies comprises four years of full-time study