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of Sensory & Consumer Science studies, qualitative and quantitative data collection and -analysis as well as manuscript writing is requested. The candidate is expected to undertake data collection
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of oxygen in oxygen-depleted waters, so called dark oxygen production. Processes of this type were recently discovered in microbial cultures and could be important for microbial communities and element
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bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
, and Programming Languages (ACP ), the section on Topology, Algebra, Analysis and Geometry (TAAG ) and the Centre for Quantum Mathematics (QM ). The proposed starting time is Winter 2026, with some room
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, biochemistry and biophysics. Methods including cell painting analysis, immunostaining and confocal imaging, crystallography (practical and analysis) You will report to the Associate Professor Simon Glerup. Your
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to quantify the uncertainty in model outputs using different methods. Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Support training
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. Priority tasks will relate to two new projects entitled “Research and Capacity Building for Domestic Resource Mobilisation” in which the Global Trade Analysis Project (GTAP) is an institutional partner
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, graph analysis, or applied computational methods. We especially encourage women and candidates from underrepresented groups to apply. Aarhus University is committed to fostering a diverse and inclusive
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hands-on experience in tissue handling, histology, microscopy, and spatial transcriptomics. Experience with the computational analysis of NGS- or imaging-based spatial transcriptomics and single-cell
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Qualifications Ph.D. in Bioinformatics, Computational Biology, Systems Biology, or a related field Proven experience in the analysis of single-cell or spatial omics datasets Strong programming skills in Python and