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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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Anatolia and from the Tigris to the Mediterranean with a focus on visual culture. Qualifications Applicants must hold a PhD degree in Classical Archaeology or document equal qualifications and be able
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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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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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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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/LabVIEW for instrument control and automated measurement routines; 4) calibration & uncertainty analysis, e.g., system error calibration for mmWave, radar or quantum sensing meaurements. Qualification
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-based readouts. Contribution to the design, implementation, and analysis of NMR/MRI experiments, including saturation-transfer and related contrast mechanisms. Collaboration with project partners
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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
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it, and how it can be exercised. The methodological emphasis of the positions is on qualitative interviewing and interpretive and qualitative content analysis. Core tasks involve recruitment
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. The postdoc project will be involved in all aspects of COL but focuses primarily on visualizing and structural characterizing catalytic RNA complexes. This work may involve a combination of biochemical