62 phd-in-architecture-interior-design-built-environment Postdoctoral positions in Finland
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- UNIVERSITY OF HELSINKI
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based in the Department of Architecture, known for its vibrant, interdisciplinary research environment. Your experience and ambitions We are seeking a candidate with: Educational background: A PhD in
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not essential for the application. Have experience in: (i) creating and maintaining optimal data pipeline architecture; (ii) assembling large, complex data set and set up annotation tools; (iii
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qualitative research skills and ambition to produce high-quality research in an interdisciplinary environment? The Department of Management Studies at Aalto University School of Business seeks applications
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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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. Your role and goals The postdoctoral position is intended for a graduated D.Sc./PhD profile with a strong interest in research (and education) of maritime risk analysis, analysis of maritime traffic
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for an expert in quantitative methods and data analytics. The position involves designing and conducting research utilizing regional big data. The primary task is to develop the field of regional data analytics
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university’s webpage: Postdoctoral Researchers in Quantum Nanomechanics | Aalto University . Your role The experimental work in all these projects involves design of the samples and of the measurement setups
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R, algorithms and systems designed to extract insights from large datasets. Experience with integrating and analyzing diverse data sources, such as biodiversity (e.g., the IUCN Red List of Species and
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ships, assuming a static operative environment. These approaches also fail to integrate stakeholder feedback, thereby limiting their practical applicability. To address these gaps, you will develop
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of distributed learning, optimization, and wireless systems, focusing on developing efficient decentralized learning algorithms. Your research will involve designing scalable optimization methods that ensure