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pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 18 days ago
disease• Profound knowledge in the bioinformatic analysis of Omics datasets (RNA-seq, ChIP-seq) with a focus on state-of-the-art single-cell technologies• Experience with national or international
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the professorship is required) In addition, the following criteria are desirable: Successful acquisition of third-party funding as a Principal Investigator Experience in the use of highly parallel computer systems
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, the biomolecular technology of protein interactions PhD program (https://biotop.boku.ac.at ). The selection process will give you the opportunity to enroll in this PhD program without further selection process
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implement computational frameworks to analyze process data, identify optimal operating conditions, and support sustainable bioproduction strategies. Your future tasks: Develop computational models and
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, Bioinformatics, Chemical Engineering, Systems Biology, or a related field. Good programming skills in Python, R, or similar languages. Experience with mathematical modeling, process optimization, or AI methods is
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leader in pharmaceutical engineering sciences. We help our partners create and manufacture advanced medicines for patients worldwide through optimizing products and processes. For our Digitalization and
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to the brain-wide circuit level. We are seeking a bioinformatics specialist to drive our multiomics projects and combine it with existing snRNAseq and GWAS data. You will collaborate closely with our
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biochemical processes, our faculty provides the ideal framework for your PhD project with the combined expertise of 20+ researchers at the assistant, associate and full professor level. APPLICATION GUIDELINES
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comprehensive training aimed at building essential scientific and transferable skills. Job Duties: Implementation and bioinformatic evaluation of transcript- and protein-based spatial single-cell multi-omics