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expertise, and ability to combine the particle-based approaches with statistical mechanics and continuum scale modelling of soft materials. The candidate should have demonstrated expertise in dissemination
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
cutting edge machine learning techniques for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for sequential data modelling, including Physics-informed Machine Learning and Koopman Operator-based representation framework, towards building interpretable predictive models for complex multi-physics dynamical
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the Finnish Center of Excellence in Quantum Materials . Your role and goals The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models
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electrolyser systems. As well as conduct and supervise experiments particularly with PEM dynamic operation. You would work in collaboration with electrolyser modellers in Aalto, but your focus would be
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both microbes and materials and can build the tools to connect them. Required qualifications Recently completed PhD (within 2 years) in biotechnology, microbiology, bioproducts engineering, or closely
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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
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data, including biomedicine and drug discovery. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one
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-change impacts on biodiversity and climate feedbacks, as well as the effects of upcoming large-scale restoration efforts. The postdoctoral researcher will be based in the PeatResC research team led by
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researcher will be based in the PeatResC research team led by Professor Miina Rautiainen at Aalto University and will work in close collaboration with partners across this internationally recognized consortium