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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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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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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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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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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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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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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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computational molecular modeling, computational biology, computational drug discovery, cheminformatics, computational/quantum chemistry, machine learning, or related quantitative disciplines. Proficiency in