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extensibility, and flexibility to support advanced data structures and analysis. Play a key role within the Data Team as the main interface to the quantum hardware platform teams to understand their control
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the assessment of your qualifications. Key scientific qualification areas Molecular biology Yeast metabolic engineering Analytical chemistry / pigment analysis Heterologous expression of algae proteins Protein
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differentiation pathways are influenced by different microenvironments. We use state-of-the-art single-cell data generation combined with computational analysis to establish principles of blood lineage
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vector-biology, including experience with fieldwork and experimental set-ups. Experience with environmental DNA analysis, incl. designing and validating eDNA assays. Experience in research-based teaching
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Knowledge and competences regarding the Danish VetStat database Skills in working with R for data management and analysis of big data Experience in collaboration with the livestock industry Understanding
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. Familiarity with tools such as Aspen Plus, COMSOL, or similar for process simulation, as well as experience with techno-economic analysis (TEA), will be important for guiding the design and assessment of our
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environment. Our research facilities include modern laboratories and access to state-of the-art core facilities for single cell analysis platforms, including sequencing and spatial tissue profiling. Terms
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, confocal, super-resolution, and electron: transmission electron microscopy) complementary expertise in image analysis Hands-on experience with epithelial barrier assessment assays (transepithelial
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may employ optional methods, such as quantitative and/or qualitative approaches, discourse or narrative analysis. Selection criteria will emphasize projects with a historical focus on one or more of the