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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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generated from density functional theory simulations, we aim to interpret complex TERS images and push the limits of nanoscale optical imaging. The student will develop and implement new theoretical
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Theoretical Quantum Materials We invite applications for a PhD position in theory of quantum materials at Aalto University, Department of Applied Physics. The position is part of the FUN-VAN Research Council
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supervision of Prof. Vanni Noferini. Your role and goals You will work on the theme of “Matrix nearness problems via Riemannian optimisation’’. Areas of mathematics that are relevant include matrix theory
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management, and proven track record in both. The ideal candidate will contribute to our strong expertise in strategy and organization theory and connect to existing research interests of our faculty while
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for different tasks Good programming skills - you are required to provide a sample of your code during the recruitment process Strong interest and motivation in improving the sustainability of networked systems
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models. Having enthusiasm in control and a good balance between theory and practice is essential. Good programming skills also support the development of digital twins, soft sensors, ML-supported control
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relevance of the highlighted publications to the project. Sample code, preferably on a code repository. Provide a URL and describe in one paragraph your role in developing the software. Names and email
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-reviewed journals. Generating and documenting code and datasets. Collaborating with international experts, both computational and experimental. Fulfilling the requirement of the Doctoral Programme in
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educate future leaders with a strong ethical and entrepreneurial mindset. Our research is published in top entrepreneurship journals, such as the Journal of Business Venturing, Entrepreneurship Theory