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across research fields including quantitative genetics, machine learning, bioinformatics, and population genetics Excellent opportunities for publishing in peer-reviewed journals Place of work Aarhus
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with a substantial statistical component (e.g., mathematics, statistical genetics, bioinformatics). The applicants should ideally have some coding experience (e.g., in R, Stata, Matlab, C, etc), and also
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. Essential: Experience in sample preparation for cryoET studies and acquisition and analysis of cryo-EM data Knowledge of bioinformatics tools and data mining Good communication skills in English (oral/written
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feature annotation using Metaboscape and other platforms. Collaborating with the Bioinformatics Core Facility, directed by Associate Professor Per Qvist, and other computational biologists to exemplify
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for the position in question is a broad ranging of techniques ranging from spatial and single-cell analyses to classic methods like histology cell culture and Western blotting. Data handling through bioinformatics
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at M.Sc. level within the areas of molecular medicine, neurobiology, neuroscience or related field. Recent hands-on experience with the techniques listed above, as well as strong expertise in bioinformatic
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cell culture and/or bioinformatic tools. Certification for animal experimentation and/or FACS analysis is a plus but not required. Experience with transcriptomic analyses is a plus but not required. As a