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mechanical pressure to human ovarian tissue. Performing single-nucleus RNA sequencing and bioinformatic analysis of ovarian follicles. Evaluating functional development of follicles after pressure exposure
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biology, molecular biology including mammalian cell culture is required Documented knowledge in bioinformatics and programming (Python, R) is required Experience in LC-MS and mass spectrometry is required
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biochemistry are required Profound knowledge in bioinformatics, especially Python and/or R are required Experience from relevant research projects investigating cellular metabolism, and/or protein modifications
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, immunoprecipitation and confocal microscopy. Experience with cancer organoid models and/or bioinformatics is an advantage. We offer broad training possibilities in the required experimental methods within a stimulating
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bioinformatics skills and resources, this project aims to characterize the potential and value of priming kelp immunity to enhance resistance to bio-fouling and pathogens, and to characterize a mechanistic
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, bioinformatics, or computational biology. Proficiency in programming and scripting languages (e.g., Python, R, Matlab). Experience with data processing, large-scale genomic and neuroimaging data, and statistical