27 estimation-methods "https:" "Computer Vision Center" Postdoctoral positions at Aalborg University
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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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postdoctoral researchers willberecruited to workcloselyacross the two AAU departments of Sustainability and planning (PLAN) and Computer Sciences (CS). The project’smethodological PI is Associate Professor
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At the Technical Faculty of IT and Design, Department of Computer Science, a 2-year Postdoc position in theories for programming semantics, methods for verification and reliability assurance
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. We expect applicants to hold a PhD in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, human-robot interaction, digital health, anthropology
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in complex in-situ environments. The key responsibility of the position is to develop post-processing methods to extra essential features from the collected measurement data despite drone positional
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-experimental data from five countries. Methodologically, the project designs and implements survey experiments and other causal inference methods (e.g. difference-in-differences and synthetic control). Your
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analyses, feature selection, and ordination methods). Knowledge of relevant laboratory methodologies, including immunoassay technologies (ELISA, MSD, Olink), flow cytometry, and mass spectrometry-based
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Municipalities, which is funded by the Velux Foundation. Read Velux’s presentation of the project at: https://veluxfonden.dk/en/projekt/migrant-solidarity-network-local-dynamics-civil-society-and-municipalities
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or soon thereafter, and the position offers a full-time (37 hours) contract, in 10 months. The candidate will conduct cutting-edge research in Human-Computer Interaction, with a focus on novel interactive
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF