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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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. Experience with cancer organoid models and/or bioinformatics is an advantage. We offer broad training possibilities in the required experimental methods within a stimulating academic environment in Centre
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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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from molecular lab work to final statistical analyses, including bioinformatics. However, if necessary, we will prioritize applicants with strong expertise in bioinformatics and statistical analyses over
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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