109 machine-learning "https:" "https:" "https:" "U.S" positions at Aalborg University
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, Denmark [map ] Subject Areas: Nonparametric estimation, Machine learning methods in econometrics and time series analysis, Statistics for high-dimensional data, Stochastic volatility models Appl Deadline
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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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power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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network of collaborators. Read more about PREDICT: https://www.predictibd.dk/ About the Department of Clinical Medicine: The Department of Clinical Medicine provides research-based teaching across all
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on working in Denmark and at AAU at https://www.en.hr.aau.dk/information-and-guidance Salary and terms of employment The employment is in accordance with the Ministerial Order on the Appointment of Academic
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At the Department of Culture and Learning (Culture and Communication as per January 1st.) , Aalborg University - Aalborg, a postdoctoral position is available for appointment from April 1st. 2026
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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of POLSAFE (see profile: https://vbn.aau.dk/da/persons/jajh/ )The research team will consist of two postdoctoral researchers working closely together with the principal investigator and a research assistant
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infrastructure. The research will investigate how machine learning models can be designed and deployed efficiently on constrained hardware platforms while supporting the reliability and security requirements
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about 47 % of all employees are internationals. In total, it has more than 1200 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its