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Computational Design for Climate-Adaptive Urbanism. Are you passionate about advancing computational design to address the challenges of the climate polycrisis? We are looking for a postdoctoral researcher to
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Job related to staff position within a Research Infrastructure? No Offer Description Aalto Design Factory is an interdisciplinary hub for collaborative product development education, research and
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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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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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, propose experimental design to address them, and take advantage of the laboratory/research community’s intellectual and skill resources to advance the knowledge of the field. The competitive candidate
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of the appointed researchers is - jointly with the research team - to design and conduct quantitative research mostly on longitudinal register-based data. Additionally, the researchers are expected to actively
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will apply and develop machine learning and Bayesian methods adapted to longitudinal design In the Research Council of Finland Project 'Body weight trajectories; Molecular entropy and aging with multi
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Software Engineering, more specifically: Design, verification, and validation of resilient software-intensive systems Software Engineering for AI AI for Software Engineering The work tasks include teaching
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. The postdoctoral project is funded with the start-up package appointed to Kemppinen by the University of Helsinki. About the position The main aim of the postdoctoral project is to design and conduct experiments
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appointed to Kemppinen by the University of Helsinki. About the position The main aim of the postdoctoral project is to design and conduct experiments for testing causality in plant-microclimate relationships