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computationally efficient approaches to progressive damage modelling. It is natural for you to think in terms of hybrid modelling strategies that combine physics-based simulations with machine learning when
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physics is important. Knowledge of experimental control systems and the design of experiments is also essential. You will be expected to contribute to scientific publications in international peer-reviewed
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, experimental work in laboratory environments, working with battery cyclers and equipment for electrochemical impedance spectroscopy (EIS), preparing battery test setups, and data processing and analysis
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Experimental inorganic chemistry related to gas binding or carbon capture You are familiar with synthesis and characterization of inorganic compounds and are comfortable working with techniques such as X-ray
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within a larger research group. Extensive hands-on experience using C. elegans as an experimental model is essential, as well as proteomic and/or metabolomic profiling. Experience with transgenic reporter
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be to develop and implement optimal control solutions for this process. You will contribute to the development of a mock-up dynamic model of the complete system, building on models developed by project
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into applications in close collaboration with industrial partners worldwide. You can read more about the department at www.es.aau.dk. Your work tasks How do wireless-enabled embodied/physical AI systems, including
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sensory testing (QST), and psychological profiling to study and modulate the brain activity in clinical and experimental pain conditions Conduct a series of studies including individuals with experimental
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using environments like MATLAB or Python, which you apply to tasks such as optimisation, parameter studies, or processing of measurement data. You enjoy working experimentally with antennas and are