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. Programming experience is required (Python, R). Strong analytical, organizational, and record-keeping skills Interest in working in a multidisciplinary and multicultural team Willing to collaborate with
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prognostic transcriptional programs through an epigenetic switch. Nat Genet. 56(4):663-674. Siersbæk et al., 2020. IL6/STAT3 signaling hijacks ER enhancers to drive breast cancer metastasis. Cancer Cell 38(3
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programs in the Departments of Neuroscience, Genetics, and the Institute for Stem Cell and Regenerative Medicine. Career development is supported through weekly journal clubs, work-in-progress seminars
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, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (Python, R, MATLAB, etc.). Additional expertise in ancient DNA, (bio)archaeology
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be in close collaboration with Dr Thomas Eiwegger, Research Group “Clinical Immunology” at the Karl-Landsteiner University, Austria. Key Accountabilities Plan, direct, and conduct specialized research
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Princeton University is an Equal Opportunity Employer and all qualified applicants
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program offers a collaborative, multidisciplinary team environment, endowed with a comprehensive support infrastructure. Details regarding the WCM-Q research program and facilities can be accessed at https
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Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped munition...
Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s recruitment system, which can be
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and cancer, understanding these connections allows us to gain new insights into biological concepts and disease targets. We are particularly interested in investigating the metabolic programs (e.g