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) classification and utilization based on advanced AI technologies, such as regenerative AI, image processing and reinforcement learning, that can improve the energy efficiency and reduce the operating cost and
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with different backgrounds and perspectives lay the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment
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. The long-term goal is to enable targeted interventions for the right individuals, based on their lifestyle, disease trajectories, and molecular profiles. To achieve this, we will apply deep learning models
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on the hypothesis that the future of building design lies at the intersection of physically sound building simulation models and machine learning (ML) techniques. Key considerations include effectively integrating ML
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at the single-cell level, using tools from optimal transport, mathematical optimization, and machine learning. In addition to method development, the work includes applying and benchmarking algorithms on both
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interdisciplinary project. The project concerns algorithm design, implementations of algorithms, and simulated and biological data analysis. The student is expected to learn a bit of relevant molecular biology to
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, dynamic programming , statistical signal processing, reinforcement learning, and have good programming skills in Python and MATLAB. - Ability to work independently and ability to formulate and tackle
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deadlines, personal suitability. Very good spoken and written English skills are required. Knowledge of both spoken and written Swedish or willingness to learn Swedish within two years from the start of
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ability to work independently, flexibility, ability to prioritize and meet deadlines, curiosity and willingness to learn, and organizational skills. Place of work: Uppsala, Sweden Forms for funding
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and eagerness to learn the required techniques as well as interest in the meritorious skills and experiences. On a personal level, we are looking for a good team player who can also work on their own