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, numerical methods for multiphysics problems, and the development of numerical optimization methods for virtual design of metamaterials and structures. Do you want to be part of a dynamic research environment
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learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental expression, purification, and characterization
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monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with
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directions of optimization of device performance. About us The Microwave Electronics Laboratory (MEL) at the Department of Microtechnology and Nanoscience employs more than 40 people performing world-class
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Giacomello. Examples of tasks: Design, perform, and optimize experimental workflows for ST, SmT and single-cell multiomics Prepare and process animal and plant tissue samples for spatial and sequencing-based
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involve the conceptual and practical development of the methodology for electrochemically initiated time-resolved soft X-ray spectroscopy, including construction and optimization of measurement setups and
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: Development and application of AI and machine learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental
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description Machine elements include the analysis and optimization of machine components and component systems based on performance, service life, energy efficiency, reliability, and environmental impact
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candidate will work full time on the above outlined research project. It is expected that they will actively and creatively develop and optimize the detailed methods to pursue the overall project goals. All
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from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security