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Analysis and Synthesis https://www.cs.aau.dk/research/research-groups/quantum-systems-analysis-and-synthesis-qsas The Department of Computer Science features a broad range of synergistic activities within
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Systems Analysis and Synthesis https://www.cs.aau.dk/research/research-groups/quantum-systems-analysis-and-synthesis-qsas The Department of Computer Science features a broad range of synergistic activities
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., compressive sensing, wavelet transforms; adaptive filtering & interference rejection, e.g., Kalman filter, notch filter, spatial filtering; 4) time-frequency analysis & spetrual estimation, e.g. STFT
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project activities. Key responsibilities include: Investigation into the GEUS sediment archive to extract information on the properties of subglacial sediments deposited by past ice streams. Analysis
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studies and both qualitative (e.g. interviews or ethnographic methods) and quantitative data analysis. This postdoc is an opportunity to collaborate in an international Nordic project with external partners
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botanical journals, as well as Johan Lange’s role as editor and populariser of the Flora Danica project. The postdoc will identify and examine episodes of specimen collecting, botanical collaboration, visual
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to governance procedures. Contribute to the design, implementation and analysis of experiments and surveys related to behaviour change and adoption of sustainable horticultural practices. Co author high-quality
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advanced properties, primarily concerning circular RNAs. The postdoc project will be involved in all aspects of COL but focuses primarily on visualizing and structural characterizing catalytic RNA complexes
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biochemistry. Expertise in e.g. CRISPR-mediated gene editing, protein structure prediction, mass spectrometry-based proteomics, or fluorescence microscopy. Expertise and interest in functional analysis
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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