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mass spectrometry Hands-on use of a mass spectrometry instrument for biomolecular characterisation, data analysis and interpretation Bioinformatic data analysis using statistical software packages
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line at the interface of nutrigenomics, clinical genomics, and toxicogenomics Design and apply bioinformatics workflows and predictive systems biology models Analyse multi-omics datasets from clinical
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crystallography and natural product research is required. Knowledge in enzymology, protein design, molecular biology, microbial metabolism, natural product analysis (LCMS, NMR etc.) and/or bioinformatics
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Leibniz Institut für Naturstoffforschung und Infektionsbiologie | Jena, Th ringen | Germany | 1 day ago
Candidates are expected to be interested in working at the boundaries of several research domains Master's degree in Computational Biology, Bioinformatics, Systems Biology, Bioengineering, Chemical Engineering
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and integrative (proteo-)omics expertise in the lab, guided by leading experts in terminomics, systems-level data analysis, and structural bioinformatics. Your profile A PhD in biology, biochemistry
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molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology, Molecular Biophysics, Molecular Evolution, Molecular Systems Biology and Structural Biology. The
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to applicants with a Master's degree in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields. Candidates who are finishing their Master's thesis
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/or gene regulation is desirable, but not required. The position is open to applicants with a Master's degree in computational biology, bioinformatics, biostatistics, cancer genomics, network science
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, Computational Biology, or Bioinformatics. The successful candidate will work in close collaboration with an interdisciplinary team including bioinformaticians, embryologists, molecular biologists, and clinicians