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of annelid evolution across broad spatial, ecological, and temporal scales. Your tasks: Generation of low-coverage whole-genome sequence data in the LIB HH molecular laboratory including genomic DNA extraction
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of advanced bioanalytical workflows (high-througput colorimetric assays, binding assays, qPCR, DNA-extraction, FACS) Establishment and supervision of peptide synthesis platforms (solid phase peptide synthesis
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. Pulmonary nodules from hundreds of patients are being collected and biopsied as part of a prospective imaging study. Up to 40 FFPE biopsy samples will be analyzed using spatial transcriptomics and mutREAD DNA
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-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong programming skills (e.g
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cells to develop a quantitative model. Once established, predicted separation mechanisms need to be tested.You will perform these experiments. Your tasks will include: Adapt existing DNA labeling
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
genetic approaches to estimate responses to selection model alternative conservation genetic strategies such as assisted gene flow and selective breeding Extract and sequence coral DNA and RNA Plan, execute
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networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning for inverse