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across diverse individuals. iPSC “Village” systems and CRISPR perturbation to experimentally dissect and validate gene function in controlled, scalable cellular models. Advanced computational genomics
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-on experience with primary immune cell culture and flow cytometry-based phenotyping Experience with mouse models, including handling, injections, harvesting tissues, and processing tumor / immune samples FELASA
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PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs, transformer-based
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(e.g., flow-based models, diffusion models), statistical physics, computational biology, or ML theory. Experience with cloud computing, computational structural biology and/or phylogenetics, and Nextflow
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genome-wide CRISPR functional screening in both mouse models and clinical samples. Working closely with computational biologists and clinicians, this interdisciplinary project offers an exceptional
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based on an advanced human intervention study, utilizing both in vivo animal models and in vitro cell-based systems. Opportunities for research exchanges to international and national collaborating
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immune cells will be studied in preclinical models with special emphasis on how adoptively transferred cells interact with tumor cells, the tumor microenvironment, and resident immune cells. Successful
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computational molecular modeling, computational biology, computational drug discovery, cheminformatics, computational/quantum chemistry, machine learning, or related quantitative disciplines. Proficiency in
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developing countries, and a potential for a new future crop in Scandinavia. Using sweet potato as a physiological model, the research will identify key metabolic bottlenecks in the plant’s source–sink
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these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University of Copenhagen, as