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Job Description Join the Multi-omics Network Analytics Research Team as a Postdoc in Computational Biology at the Danish Technical University (DTU) Are you an experienced scientist with a passion
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-based simulation model for assessing future mobility technologies in the Greater Copenhagen region. Explore the development of machine-learning based scenario discovery for future mobility policy design
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and
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extraction) that can be miniaturized and integrated into portable devices. Perform SERS measurements and data analysis of SERS data (e.g., using machine learning). Develop, test and apply new fiber-based SERS
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folding of such proteins. Carry out expression and purification for functional characterization of selected proteins. Teach and supervise BSc and MSc student projects Potentially Co-supervise PhD students
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(e.g., network calculus or similar timing-analysis methods) and/or dynamic reconfiguration (e.g., using Q-search, reinforcement learning, or metaheuristics). You may also contribute to developing
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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..) Digital Twin & Digital Transformation Development & Deployment of Digital Twins for smart cities, or data infrastructure. IoT-based Data Sources, Big Data Pipelines, & Real-time Analytics. Federated Systems