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of Management Studies at Aalto University School of Business (http://management.aalto.fi ). The department comprises several highly competitive research groups in organization and management theory, strategy
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of Management Studies at Aalto University School of Business (http://management.aalto.fi ). The department comprises several highly competitive research groups in organization and management theory, strategy
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applied research in quantum computing at Aalto University’s Electronics and Nanoengineering department. In this position you will have a chance to make a real impact by high-quality research and by
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supply system evaluate how different data sources and modelling choices affect predictive performance and practical usefulness contribute to scientific publications and doctoral thesis work in the field
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, landscape character) Environmental monitoring and assessment, such as ecosystem condition monitoring and climate-related landscape processes (heat islands, drought, flood dynamics) Environmental impact
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Bioinformatics and
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course development, ensuring offerings are up to date with industry practices and advancements. Collaborate with fellow faculty to enrich the educational impact on our students and learners. The candidate
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Doctoral degree in quantum technology, physics, or a closely related field. Strong research experience in relevant areas. A publication record demonstrating international scientific impact. Clear potential
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administrative tasks and educational development at the level of Department and School. Interacting in various ways with society in alignment with Aalto University’s outreach and impact ambitions. Your experience
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the faculty on academic research projects, teaching related tasks and assignments about societal impact. Potential tasks include data collection and analysis, conducting literature reviews, statistical analyses