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-resolution electron, and optical microscopy, together with complementary surface characterization methods. Prepare and characterize well-defined surfaces and investigate how their molecular-scale properties
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complementary surface characterization methods. Prepare and characterize well-defined surfaces and investigate how their molecular-scale properties influence condensation behavior. Develop experimental and
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Communication Macau, China Computing and Mathematical Sciences Division - Research Engineer: AI for Weather Forecasting Abu Dhabi, UAE
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nanoparticles embedded within the device. The work combines advanced nanofabrication methods, such as electron-beam lithography and OLED fabrication via evaporation and solution-processing with
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and develops Biology-Informed Machine Learning methods for biomedical applications. Associate Professor Lähdesmäki leads Aalto’s Computational Systems Biology group and has extensive expertise in
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Research Fellow supported by an Academy Research Fellowship of the Research Council of Finland and develops Biology-Informed Machine Learning methods for biomedical applications. Associate Professor
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physical AI in direct collaboration with leading industrial partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and
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partners. The group develops intelligent robotic systems, with an emphasis on methods and systems that cope with imperfect knowledge and uncertain sensing. The positions are linked to the AI in
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Fingrid. Research focus Monitoring and data analysis: Apply and develop methods to estimate torsional oscillation frequencies, damping and amplitudes from phasor measurement unit (PMU) data. Analyse
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) Interfacial phenomena and development of biobased barriers, foams, and emulsions Advanced textile recycling, including flotation‑based methods Learn more: https://www.aalto.fi/en/department-of-bioproducts