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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models
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network of universities, research centers, and innovative companies, and you will be in contact with all the most relevant stakeholders in the water sector. Responsibilities and qualifications While
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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orchestration, integration of multiple LLM APIs, automated resource estimation, transparent logging, and benchmarking against established platforms such as AiiDA . We welcome applications from candidates with a
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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network of academic and industrial partners. We are a team specialized in robot solutions involving modelling, estimation, and control of advanced robot systems. In addition, the candidate will be
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(UCLA) as external collaborator. Brief project description The project develops new methods for causal inference when covariates are high-dimensional – settings in which traditional estimators often face
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Introduction MoPo investigates the role of moral judgment in contemporary politics, where citizens increasingly judge one another as good or bad people. While this moralization can reinforce democratic