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interdisciplinary team. Please keep your eyes open for related positions advertised in parallel to this one. If you see yourself to be qualified for more than one of them, please resubmit your application for each
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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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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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sciences or similar Strong interest in single-cell nucleus RNA-seq techniques / Perturb-Seq / Crop-Seq Willingness to learn computational biology/bioinformatics High motivation for scientific work and
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– Universitätsmedizin Berlin. Your Tasks Are you passionate about bioinformatics and eager to work in an interdisciplinary team? In our group, you will work on the following tasks: Develop and adapt bioinformatics
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on healthcare, research, and teaching, we bear a unique responsibility – ideally with you on board! The position is based at the Institute of Medical Informatics within the bioinformatics service unit of the
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advanced molecular and cell biological techniques, including variant screening, RNA expression analyses, immunofluorescence microscopy, and transmission electron microscopy Collecting and processing patient
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on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains Master’s degree in computational biology, bioinformatics, systems
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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
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bioinformatic approaches, and their functional characterisation. RESPONSIBILITIES: Planning, execution and analysis of experimental work Identification and prioritisation of genetic causes of non-obstructive