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genes in plants, and modeling the evolution of transcriptional systems in silico . We are currently looking for a talented postdoc to join our team in the context of a project funded by the Research
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molecular findings to disease-relevant contexts. Qualifications. Applicants should possess (or be on track to receive) a Ph.D. in Biochemistry, Neuroscience, Cell Biology, Molecular Biology, or a related
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for interdisciplinary collaboration, and ideally experience in biomedical or data-rich research contexts (not required) We offer: A full-time position according to salary group E 13 TV-L (100%), subject to collective
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to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health. In this context, the Funke lab develops machine learning methods to accelerate
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, including experience in mathematical or network-based modeling, supported by demonstrable work in a relevant research context Strong record of first-author publications in the fields of bioinformatics and/or
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€‘editing screens, high‑throughput reporter assays. Single‑cell or spatial transcriptomics / proteomics / metabolomics in metabolic or mitochondrial contexts. Microprotein or peptide biology; therapeutic
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and their cumulative impact on the local underwater noise budgets of human hotspots. In addition, the project seeks to place human presence in the broader context of the drastic effects of climate
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A Postdoctoral Research Associate will be recruited to conduct research on regulatory T cells in the contexts of autoimmune inflammation and anti-tumor immunity. He or she will be guided by PI
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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cancermodels Analyze and interpret complex datasets and translate experimental findings into a clinically meaningful context Publish results in high-impact international journals. Your profile PhD in tumor