20 digital-biosignal-processing Postdoctoral positions at Chalmers University of Technology in Sweden
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resources for your research. Project overview The project aims to explore new catalytic processes for CO₂ hydrogenation as part of CCU. The objective of the project is to develop novel catalysts
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research group that views automation engineering as a key enabler for new methods and applications, driving and benefiting from the ongoing digitalization of society. Our research emphasizes social, economic
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benefiting from the ongoing digitalization of society. Our research emphasizes social, economic, and environmental sustainability. As a postdoc, you will become part of a dynamic team that offers a stimulating
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their own research agenda within some of the department’s core themes: Digital transformation and innovation strategy – how organizations adapt their innovation processes and strategic priorities in response
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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edge research in materials design, processing, and advanced characterization. We promote interdisciplinary collaboration and sustainability focused research, with strong ties to both academic and
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amplifier performance. By combining advanced device measurements, empirical modeling, and power amplifier design, this project will generate new insights into the material, process, and design factors
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investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration
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simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration and radiation generation in magnetic fusion, laser-produced and astrophysical
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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC