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technology, and machine learning methods. Professor Simo Saarakkala will be the primary supervisor for developing targeted machine learning-based data analysis methods for novel biosensing methods, but
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technology in forming sociotechnical imaginaries of sustainable futures through multi-sited fieldwork including interviews, observations and document analysis. The focus is on both narratives and concrete
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-modal analysis Programming and coding fluency Fluent in written and spoken English We also appreciate Experience with multiple study design and experimental methods Experience in Bayesian methods Interest
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, you will participate in testing and optimization of a minimally invasive single cell analysis platform. This nanotube-based novel technology utilizes ultrasensitive surface-enhanced Raman spectroscopy
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data analysis. The 5 topics of the project will be led by Professors Caglar Elbuken, Seppo Vainio, Aki Manninen, Jian-An Huang, and Simo Saarakkala as a consortium who are leading experts in
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into regulatory mechanisms. The research will leverage a large in-house dataset from iCAN, complemented by publicly available data, to examine transcriptomic dependencies on transcription factor abundance and/or
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, GATE undertakes the first systematic long-term analysis of modern Finnish deportation policy. The project examines previously unused archival sources, interviews, and administrative data to analyse
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converters at low and medium voltage levels, such as multilevel conversion solutions 2) power electronics component technology, encompassing power semiconductor technology for high-power applications in low
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different aspects from experiments to data analysis and modelling as well as instrumental developments. The detailed topic and tasks will be tailored according to the background of the successful candidate
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doctoral researchers in the network will be able to participate in the data collection phase and in the data analysis phase. In addition to its scientific value, this study will constitute a hands-on