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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from
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, social networks, natural language processing, experiment design, HCI, qualitative interviews, behavioral sensing, digital phenotyping Bonus: Knowledge of or enthusiasm for political science, psychology
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. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will
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facilitate international cross-sectoral design workshops in collaboration with project partners. Develop and deploy AI-enhanced visualization tools and digital dashboards to support participatory engagement
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address complex environmental challenges. About the Project The Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscapes (ADAPT) project develops scalable, data-driven design methodologies
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processing. The measurements are carried out at deep cryogenic temperatures in dilution refrigerators. Notably, we have demonstrated quantum entanglement between two micromechanical oscillators realized as
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an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process while focusing on interesting computational problems and
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include some combination of the following, with flexibility depending on interests and experience: Design and simulation of III-V lasers and PIC architectures III-V (mainly GaAs) fabrication process
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regarding the open position, please contact Dr. Talvikki Hovatta, talvikki.hovatta(at)aalto.fi. In any question regarding the recruitment process, please contact HR Advisor Monika Mäkinen, hr-elec@aalto.fi
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of renewable resources. BIO2 aims to contribute to the development of novel solutions to move towards sustainable primary production and processing systems that can produce materials with fewer inputs, less