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of Technology’s campus in Luleå. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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at the Department of Technical Physics. The aim of the project is to develop and validate image reconstruction methods and hardware for low-field (~50 mT) magnetic resonance imaging. As our new Postdoctoral
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matrices for the encapsulation of biologically active substances; developing methods for incorporating antibiotics, adjuvants and other compounds that support antimicrobial activity; synthesising polymeric
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In polymeric materials, a fundamental transition is required from synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover
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. Candidate should have an affinity for multidisciplinary fields of research and a hands-on attitude towards experimental work. Computer skills in simulation and modelling are also desirable. We expect
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education across the entire product development lifecycle, from early concepts to industrialization. Together with industry, we develop methods and tools that enable robust, sustainable products while
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methods that combine soundscape targets, acoustic metamaterials, physical modelling, inverse design, machine learning and perceptual evaluation. The postdoc will develop models and design methods
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. Computer skills in simulation and modelling are also desirable. We expect creativity, flexibility and ability to co-operate within an interdisciplinary research group. Excellent communication skills
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Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology | Gaithersburg, Maryland | United States | 2 months ago
the Biophysical Metrology and Inference program at NIST, which develops interpretable measurement approaches, physical models, and data-analysis methods to connect biological signals to quantitative mechanism and