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Package: Actively participate in a participant-driven co-design process to develop a framework for returning molecular and imaging data to study participants Contribute scientific content to patient
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biology, biomedical research, bioinformatics, biochemistry, bioengineering, etc. With the motivation, skills, experiences, and initial achievements (subject to academic age) to qualify for a competitive
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Doctoral (TV-L E13, 65 %) and Postdoctoral Researcher Positions (TV-L E13, 100 %) in Microbial Commu
or PhD (or equivalent) in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree are welcome
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
. • Is motivated to develop new methods and biological insights in parallel. Especially Excited If You Have • Experience with bacterial genetics, functional genomics, or drug-response assays. • Familiarity
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parallel, the Institute is developing state-of-the-art methods that integrate living tissues with synthetic scaffolds to model and repair organs. These efforts converge across three interrelated programmes
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broad range of molecular biology and bioinformatic infrastructure. Together Aarhus University makes a world-class research community with many international postdocs and students from all over the world
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, biochemistry, cell or developmental biology, or bioinformatics are invited to apply. The candidate will be supported by a NIH grant to explore regulatory T cells based on newly developed experimental platforms
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resources are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI
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classifiers Collaborating closely with bioinformatics cores and international project partners Mentoring PhD students and contributing to grant applications You will report to the Assistant Professor Xiang
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, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput