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-engineering-and-automation/nonlinear-systems-and-control ) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees
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guidelines (Doctoral Students). A good command of English is required. A trial period of six months will be used at the beginning of the employment. The eligible candidate has a suitable master’s degree. In
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advanced methods for controlling wetting and nucleation, combining cutting-edge surface engineering with high-resolution experimental techniques. Potential applications span from energy-efficient heat
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an advantage: experience in multimodal data analysis, experience in performing bioinformatics workflows, the use of containers and version control, experience in developing research services or infrastructures
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condensed matter physics. Excellent command of English. The Finnish language is not required. The selected candidate needs to apply for the study right in doctoral studies at Aalto University School