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Postdoc position in method development in human statistical genetics, with a focus on classificat...
., biomarkers and traits related to the target disease). There is also scope within the postdoc for developing “more standard” GWAS tools (e.g., tools for association analysis, constructing polygenic scores and
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Latin intellectual traditions. The project combines intellectual history with computational text analysis to examine large, historically complex corpora spanning multiple centuries and languages. The core
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., biomarkers and traits related to the target disease). There is also scope within the postdoc for developing “more standard” GWAS tools (e.g., tools for association analysis, constructing polygenic scores and
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candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules
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contribute to high-impact research on machine learning related to the analysis of IoT data in the form of multivariate time series. The DESS group is part of Department of Computer Science that belongs
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archive to extract information on the properties of subglacial sediments deposited by past ice streams. Analysis of water and sediment samples from glacier fronts in Greenland. Analysis and interpretation
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research area: Python or C#, robotics, additive manufacturing, finite element analysis, or computational fluid dynamics. Experience in teaching and co-supervising thesis students at university level
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machine learning methods for detecting, classifying, and identifying wireless anomalies in real-world radio environments. You will design and experiment with AI-driven approaches for spectrum analysis, work
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University, Denmark. Expected start date and duration of employment This is a 2–year position from 15 May 2026. Job description The work will be focused on analysis of faba bean interactions with rhizobia in
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with demographic methods, longitudinal data analysis, or life-course analysis. Further information about the position can be obtained from Head of Administration Astrid Holm Nielsen, e-mail: astni