259 modelling-and-simulation-of-combustion-postdoc Postdoctoral positions at Nature Careers
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virological and immune system-based research through long-standing community partnerships and clinical trials research, along with using laboratory models of virus infection. The successful candidate will work
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explores novel myeloid cell-based immunotherapy against intraperitoneal metastasis of ovarian cancer using mouse models and patient samples as well as state-of-the-art technologies such as spatial multi
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multi-disciplinary approaches to answer these key questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available
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, to support the development of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to contribute to the development, optimisation and implementation
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mature into fully independent researcher. Successful candidate will gain an experience in genome wide technology, CRISPR-Cas editing, mouse models and stem cell biology. Applicants should have a Ph.D. and
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learning models, and systems biology to elucidate the mechanisms of drug interactions in complex biological systems, with a particular focus on infectious disease and cancer. Candidates with experience in
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(TMJ) degeneration and pain, and salivary gland degeneration. The lab uses mouse and human iPSC/organoid models equipped with genomic, single cell RNA sequencing, spatial transcriptomics, tissue clearing
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state. The project will specifically investigate the role of endogenous retroelements in this context. Immune-functional consequences will be studied using in vivo mouse models, and in cell culture
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to self-organize into complex structures. Our approach is to develop sophisticated mathematical models – informed by state-of-the-art biological knowledge and experimental data – to understand